Applied Sciences
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Item Open Access 2008-2011 world economic crisis, new paradigms, science methodology, information systems, and decision systems(IGI Global, 2014) Güvenen, O.The human society and market structures need a "regulatory framework," new paradigms which endogenize ethics, efficiency, rights, and minimize risks in decision systems, which can converge in peace and human sustainability. Ethics is a necessary condition for any system at the individual, institutional, corporation, national, and international levels. Globalization with automation transformed global market parameters. Information distortion in information systems may create high alternative costs such as problems of quantification of socio-economic phenomena and negative impacts on quantitative and qualitative distortions in decision-making structures. In the 21st century, it became a necessary condition to transform power driven systems to science and culture and endogenize ecology, ethics, which aims "human optimal" welfare decision systems at the world level. © 2015, IGI Global.Item Open Access 3. yılında Türkiye'nin internetle savaşı: Donkişot, Devekuşu,Harakiri(Türk Kütüphaneciler Derneği, 2010) Akgül, MustafaTürkiye'de İnternet yasaklarını düzenleyen 5651 numaralı kanun çıkalı 3 yılı aştı. Bu kanunun çıkış sürecinde ve bugüne kadar uygulamasında, ülkemiz bir yandan dünyaya önderlik etmeye çalıştı, bir yandan Youtube/ Google gibi devlere meydan okudu; onlara büyük vergi cezaları kesti. Ülkemiz, kendi internet algılaması ve değerlendirmesini dünyaya empoze etmeye çalışıyor. Böylece, bu konuda, uluslararası hukuku tesis etmeye çalışıyor. Bunu, uluslararası forumlarda, Birleşmiş Milletlerde önererek, savunarak, müzakere ederek yapmıyor. İnterneti, basın gibi algılayarak, basına uygulanan yasaklama alışkanlıkları ile yasaklıyor. Başbakan dahil internet yasaklarını önemli bir çoğunluk deliyor. Bu yasaklara Cumhurbaşkanı, Avrupa Birliği’nden sorumlu Devlet Bakanı, hatta Ulaştırma Bakanı ve BTK (Bilgi Teknolojileri ve İletişim Kurumu) Başkanı da karşı beyanlar veriyor. Bu arada Hukuk'un temel ilkeleri, kuvvetler ayrılığı, adil yargılama, özgürlüklerin özüne dokunulmaz ilkesi gözardı ediliyor. Bir başka deyişle, ülkenin hukukçuları ve düşünen insanların gözü önünde bir Hukuk Faciası yaşanıyor. Ve ülkemiz, matbaada olduğu gibi, interneti anlamayarak, harakiri yapıyor.Bu yazıda, Türkiye'nin internetle savaşının 3 yıllık macerasının boyutları değerlendirecektir.Item Open Access A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro micropropagation of black mulberry (Morus nigra L.)(Elsevier BV, 2024-03-28) Aasim, Muhammad; Katırcı, Ramazan; Acar, Alpaslan Şevket; Ali, Seyid AmjadIn this study, in vitro regeneration protocol for black mulberry (Morus nigra L.) was optimized using 18 distinct combinations of benzylaminopurine (BAP) with either naphthalene acetic acid (NAA) or Indole butyric acid (IBA). The top two combinations were then utilized to optimize the light intensity given by light-emitting diodes (LEDs). Supplementation of 0.5 mg L-1 BAP and 0.25 mg L-1 IBA with 60 PPFD light intensity yielded a maximum regeneration coefficient (2.53), shoot length (6.01 cm), and number of leaves (10.73). The regenerated plantlets were rooted with IBA under in vitro conditions followed by successful acclimatization of plantlets under greenhouse conditions. The results were further investigated by linking them with an emphasis on improving the Support Vector Classifier (SVC) using quantum computing techniques, and this work embarked on a groundbreaking path to integrate the realms of machine learning (ML) with quantum computing. For this purpose, the traditional Support Vector Classifier (SVC) model was compared with quantum-enhanced algorithms, including SVC with the quantum kernel (SVC Qkernel), SVC with quantum features (SVC Qfeatures), Quantum Support Vector Classifier (QSVC), and the Variational Quantum Circuit (VQC). The quantum-enhanced models showed a range of results, indicating their complex and subtle character, whereas classical SVC performed robustly for multiple metrics. Quantum kernel-based SVC demonstrated an interesting trade-off between recall and precision, indicating its proficiency in processing particular data properties.Item Open Access A unified framework of response surface methodology and coalescing of Firefly with random forest algorithm for enhancing nano-phytoremediation efficiency of chromium via in vitro regenerated aquatic macrophyte coontail (Ceratophyllum demersum L.)(Springer, 2024-06-11) Ali, Seyid Amjad; Gümüş, Numan Emre; Aasim, MuhammadNano-phytoremediation is a novel green technique to remove toxic pollutants from the environment. In vitro regenerated Ceratophyllum demersum (L.) plants were exposed to different concentrations of chromium (Cr) and exposure times in the presence of titania nanoparticles (TiO2NPs). Response surface methodology was used for multiple statistical analyses like regression analysis and optimizing plots. The supplementation of NPs significantly impacted Cr in water and Cr removal (%), whereas NP × exposure time (T) statistically regulated all output parameters. The Firefly metaheuristic algorithm and the random forest (Firefly-RF) machine learning algorithms were coalesced to optimize hyperparameters, aiming to achieve the highest level of accuracy in predicted models. The R2 scores were recorded as 0.956 for Cr in water, 0.987 for Cr in the plant, 0.992 for bioconcentration factor (BCF), and 0.957 for Cr removal through the Firefly-RF model. The findings illustrated superior prediction performance from the random forest models when compared to the response surface methodology. The conclusion is drawn that metal-based nanoparticles (NPs) can effectively be utilized for nano-phytoremediation of heavy metals. This study has uncovered a promising outlook for the utilization of nanoparticles in nano-phytoremediation. This study is expected to pave the way for future research on the topic, facilitating further exploration of various nanoparticles and a thorough evaluation of their potential in aquatic ecosystems.Item Open Access AB- Türkiye ilişkileri sürecinde Türk şeker sektörü simülasyon sonuçları(Sanayi ve Teknoloji Bakanlığı Sanayi ve Verimlilik Genel Müdürlüğü, 2008) Aytüre, S.; Demir, NazmiBu araştırmada, dokuz bağıntılı bir ekonometrik model yardımı ile alternatif senaryolar altında, Türkiye'nin şeker arz-talep dengeleri simüle edilmektedir. Araştırmanın ortaya çıkardığı en önemli bulgu Türkiye'nin AB'ye 2014' de üye olması halinde önemli bir şeker ithalatçısı konumuna gireceğidir. Şeker sektörü giderek göreceli biçimde küçülecek ve 1.5 milyon ton civarındaki bir üretim eşiğinde dengelenecektir. Fabrikalarının üçte birinin rekabet edemeyerek kapanacağı, pancar ekim alanları ve pancar üretici sayılarının %35'den fazla azalacağı beklenen şeker sektöründe ortaya çıkacak işsizlik, gelir kayıpları, sosyal ve çevresel olumsuzluklara şimdiden çare aranması gerekmektedir. Çoğu sulanmakta olan ve terkedilmesi beklenen pancar ekim alanlarına ekilebilecek alternatif ürünlerin ve/veya tarım dışı gelir kaynaklarının saptanması için çalışmalara başlanması kaçınılmazdır. Şekerpancarı üreticilerinden ve şeker fabrikalarından ayakta kalabilecek olanların AB nin kendi içinde ayakta kalabileceklerle rekabet edebilmeleri için en emin yol tarladan nihai tüketiciye kadar şeker sektörünün tüm üretim aşamalarında verimliliği arttıracak adımları atmaktır. Pancarda polar şeker oranını ve verim düzeyini arttıracak pancar tohumlukları ve bunlara uygun agronomik koşulların sağlanması, ölçeğe getiri için fabrikaların birleşmeleri, kapasitelerini arttırmaları, yabancı sermaye ile teknolojilerini yenilemeleri birçok alternatif arasında sadece birkaç çıkış yolu olarak görülmelidir.Item Open Access Achieving aging well through senior entrepreneurship: a three-country empirical study(Springer New York LLC, 2021-11-12) Zhu, Y.; Collins, Ayşe; Sardana, D.; Çavuşgil, S. T.Seniors strive to achieve aging well by engaging in entrepreneurial activities subsequent to ceasing their organizational employment. While this is a common practice in many societies, scant research exists on what motivates seniors to engage in entrepreneurial activities once they end their formal employment. We adopt the self-determination theory (SDT) to investigate the effects of goal contents and motives on the well-being among seniors who launch their entrepreneurship journeys. Based on in-depth interviews with senior entrepreneurs in China, India, and Turkey, we contribute to extant knowledge by linking separate paradigms. These are as follows: goal contents and intrinsic motivation-driven entrepreneurship, management of inner and outer challenges, and achievement of the eventual outcome of aging well. We also investigate the culture-specific drivers of senior entrepreneurship in a comparative framework.Item Open Access Adapting multiple-choice comprehension question formats in a test of second language listening comprehension(Sage Publications, 2021) O’Grady, StefanThe current study explores the impact of varying multiple-choice question preview and presentation formats in a test of second language listening proficiency targeting different levels of text comprehension. In a between-participant design, participants completed a 30-item test of listening comprehension featuring implicit and explicit information comprehension questions under one of four multiple-choice question preview and presentation conditions. Interactions between preview, presentation and comprehension in the participants’ test scores were analysed using many facet Rasch analysis. The results suggest that the measurement of participants’ listening ability was directly influenced by the presentation of multiple-choice questions. Test scores were highest when participants were able to preview the multiple-choice question stems before the sound file and listened to the options after the text had completed. However, interactions between preview and presentation conditions and comprehension level were only statistically significant in an analysis of the low scoring students’ item responses, which were more frequently correct when preview of item stems was available for questions targeting comprehension of implicit information. The research underscores the importance of accounting for test design when making inferences about language learners’ listening ability and will be of interest to teachers, practitioners and researchers developing listening assessment tasks.Item Open Access Adding a course to the curriculum? dilemmas and problems(Routledge, 2006) Collins, A. B.The "knee-jerk" implementation of curriculum without study, understanding, proper implementation, and follow-up monitor cannot assure a purposeful addition to educational programs. This research was conducted to assess the effectiveness of a new course (Co-Op Management Applications, or CMA) added to the curriculum at a higher-education level. Course effectiveness was assessed from all stakeholders' perspectives; students, sector representatives, school administration, and instructors. Data were collected through questionnaires and interview schedules and subjected to quantitative (descriptive) and qualitative (content) analysis. The findings show that a representative "needs assessment, facility analysis, and force field analysis" was not conducted during the course development and implementation. Further, the proper monitor of student assessment was not being conducted. It is apparent that a meaningful work experience was being imparted to the students. Early monitor and evaluation could have potentially assured that the students benefited and achieved the course intentions before going forward.Item Open Access Agro-climatic conditions and regional technical inefficiencies in agriculture(Wiley-Blackwell Publishing, Inc., 2002) Demir, N.; Mahmud, S. F.A survey of applications of the Technical Inefficiency Effects (TIE) model suggests that agro-climatic and other environment variables are customarily omitted in the model specifications. The justification for such an omission is the assumption that these variables are beyond the control of the farmers and therefore should be treated as random variables. In this paper, we argue that in applications dealing with regional agricultural data, agro-climatic variables should not be treated as pure random terms. Historical differences in agro-climatic conditions are known with a reasonable degree of certainty across a larger region. Therefore, omission of such variables from the analysis may lead to inaccurate interregional technical inefficiency comparisons. In order to demonstrate the importance of agro-climatic variables in such analyses, we estimate the TIE model for Turkey. A translog stochastic frontier production function with agro-climatic variables such as rainfall and land quality is estimated, and it is shown not only that the agro-climatic variables are statistically significant but also that their omission substantially affects mean output elasticities and relative technical efficiencies.Item Open Access AI-generated future: what awaits tourism and hospitality with AI-based deep learning technologies?(2024-05-04) Collins, Ayşe; Ali, Seyid Amjad; Yılmaz, Semih; Berezina, K; Nixon, L; Tuomi, AAI-based technologies are taking the world by storm - rapidly changing the course of many industries from arts to education, healthcare to entertainment, and even areas of life we are yet to discover [1-4]. The application of AI-based technologies is also emerging in travel and tourism industries [5, 6], but remains underexplored as a research area [7-9] when specific and feasible AI applications are considered. This study describes and appraises several emerging AI-based deep learning technologies that are un(der)utilized in tourism fields but promise high utility in the future. Furthermore, potential application areas of these technologies within the context of tourism are detailed. Possible research routes and methodologies to investigate the functionality of AI-based applications are also outlined.Item Open Access The American suffrage movement and the novels of Marietta Holley and Elia Peattie as a means of cultural lobbying(Routledge, 2018) Geçgil, E.Women’s literary activity during the first two decades of the twentieth century, fuelled by the progressive spirit, served as a form of cultural lobbying through which they could articulate social and political problems and propose solutions. This article focuses on the struggle that enfranchised women by examining two long-forgotten suffrage novels, written in a period when grassroots activism, suffrage parades and house-to-house canvassing were a means of propaganda: Marietta Holley’s Samantha on the Woman Question (1913) and Elia Peattie’s The Precipice (1914). With her use of satire, Holley familiarizes her middle-class audience with women’s suffrage and politics. By presenting the plight of different women in a vernacular style, Holley addresses the older generation of anti-suffragist women, illuminating how countless unfortunate women are oppressed by a political system that does not acknowledge their presence. On the other hand, in The Precipice, Elia Peattie appeals to the younger generation of New Women, portraying the life of a twentieth-century social reformer, who tries to balance her career as a municipal housekeeper with the traditional roles and values of her day. The article argues that both novels functioned as catalysts to bring about social change at a time when, on the federal level at least, women still could not vote or hold an elected office. Thus, even before women were enfranchised, these novels influenced the beliefs and opinions of female audiences, for whom reading fiction was a favourable pastime. Without marginalizing female protagonists or blatantly alienating readers by transgressing socially accepted gender norms, these authors were able to find a middle ground, successfully creating role models who try to change society from within. By rendering the New Woman unthreatening, they challenged the ideology of separate spheres and prepared the public for the great changes ahead.Item Open Access Analyzing Turkish e-government websites by eye tracking(IEEE, 2013) Albayrak, Duygu; Çaģiltay, K.Usability studies provide essential information about users' views and perceptions of efficiency, effectiveness and satisfaction of given online services. Nowadays, e-government web sites become popular. Therefore, there is a need for usability testing to specify the usability problems and to make the services of the e-government more usable. The purpose of this study is to investigate usability of some Turkish e-government services. The study examined usability of five Turkish e-government web sites: Ministry of National Education - Student Information System (eokul), Ministry of Justice - National Judicial Network Project (UYAP), Turkish National Police: Vehicle Search System, Social Security Institute: Service Details and General Directorate of Land Registry and Cadastre. It was conducted with nine participants. This study is a case study with mixed design methodology, in which both quantitative and qualitative approaches were employed and combined. Quantitative data were collected through an eye-tracker, a pre-test questionnaire of participants' demographics and previous utilization of egovernment web sites and a post-test questionnaire. Qualitative data were collected through both semi-structured individual interviews and observation during test. The study results identify the usability problems encountered while using government services. The study concludes with specific recommendations for improvement of e-government services in Turkey. © 2013 IEEE.Item Open Access An animation system for rigid and deformable models(1993) Güdükbay, Uğur; Özgüç, B.; Tokad, Y.We describe a system for the animation of rigid and deformable models. The system uses the approaches from elasticity theory for animating the models. Two different formulations, namely the primal and the hybrid formulations, are implemented so that the user could select the suitable one for an animation depending on the rigidity of the models. Collision of the models with impenetrable obstacles and constraining model points to fixed positions in space are implemented for use in the animations.Item Open Access Are software engineers' responses to incomplete requirements related to project characteristics?(IEEE, 2009) Albayrak, Özlem; Albayrak, Duygu; Kiliç, T.Software requirements quality affects software product quality. For high-quality software products, software requirements must be complete. When faced with incomplete requirements, software engineers attempt to fill the requirements' gaps differently, either by getting feedback from the user or by making assumptions. Assumptions may be explicit or implicit. Explicit assumptions are preferable to implicit assumptions as explicit assumptions can be validated. We conduct an empirical study to determine whether the number of explicit assumptions made by software engineers is related to a project's characteristics. Using data from two CMMI Level 3 companies and 16 projects, we investigated the responses of 92 software engineers to the same incomplete software requirement. Our findings show possible relationships between projects' characteristics and the number of explicit assumptions. ©2009 IEEE.Item Open Access Are we teaching what we should? dilemmas and problems in tourism and hotel management education(Cognizant Communication Corporation, 2002) Collins, A. B.There is a growing demand for professionally educated and trained staff in the Tourism and Hotel Management (THM) sector as the whole industry attempts to meet expanded consumer wants and desires. This article examines the relevance of THM education from stakeholders' perspectives, namely, the THM sector, the current and graduate THM students. The following research questions were posed: 1) What are the sector representatives' perceptions regarding the effectiveness of tourism education? 2) What are the current and graduate students' perceptions regarding the effectiveness of tourism education? and 3) What recommendations can be made to improve the system? Both quantitative and qualitative methods were employed in the study. Results showed that there was an expanding need for university recognition of specialization due to new technologies and consumer maturation. Likewise, the need for an improved mix between the academic and practical experience and second language inadequacies were highlighted by joint concerns expressed by the sector representatives and the graduate students.Item Open Access Art museum visitor segments: evidence from Italy on omnivores and highbrow univores(Ecole des Hautes Etudes Commerciales, 2019) Gürel, Eda; Nielsen, A.This study segments the various types of art museum visitor using two-step cluster analysis. It goes beyond a simple demographic categorization of visitors and investigates why people visit museums, in particular what experiences they seek in museums based on their preferences and participation in various leisure activities. The sample was selected from among visitors to two art museums in Genoa, Italy. Face-to-face interviews were conducted with 400 visitors. The resulting 394 useable questionnaires yielded two clusters – Cultural Omnivores and Art Museum Univores – providing evidence for the omnivore/highbrow univore thesis described in the literature. The data suggest that the experiences visitors look for in museums, their preferences regarding various leisure activities, and their attendance at both highbrow and popular cultural events provide an effective means of segmenting art museum visitors. The theoretical contributions and managerial implications are discussed.Item Open Access Art museum visitors: how do they perform class distinction?(Routledge, 2024-08-21) Gürel,Eda; Michaud,MaximePrevious studies predominantly used sociodemographic factors to categorize art museum visitors, overlooking an in-depth exploration of the motivations guiding their museum experiences and relying heavily on aggregated data. Building upon Bourdieu’s (1984, Distinction: A Social Critique to the Judgment of Taste. Cambridge: Harvard University Press) theory of cultural consumption and Peterson’s (2005a. “Problems in comparative research: The example of omnivorousness.” Poetics 33:257–282. doi:10.1016/j.poetic.2005.10.002; 2005b. “Changing Arts Audiences: Capitalizing on Omnivorousness.” https://culturalpolicy.uchicago.edu/sites/culturalpolicy.uchicago.edu/files/peterson1005.pdf) omnivore/univore theory, this study aims to investigate the distinct segments of art museum visitors, considering their experience expectations and cultural preferences. Specifically, utilizing two-step cluster analysis, we explore the experiences sought by art museum visitors, considering their cultural preferences. Analyzing 411 questionnaires from visitors to Lyon’s premier fine arts museum, two distinct visitor groups emerge. Thus, the findings suggest that conventionally labeled ‘museum-goers’ represent diverse visitor types, emphasizing the holistic importance of considering a combination of factors. The results affirm Peterson's theory adding to the literature that these groups exhibit distinct cultural and culinary preferences, aligning with Bourdieu's social distinction theory. The study offers both theoretical and practical implications.Item Open Access Artifcial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L.(2023-01-06) Aasim, M.; Ali, Seyid Amjad; Aydin, S.; Bakhsh, A.; Sogukpinar, C.; Karatas, M.; Khawar, K.M.; Aydin, M.E.Water bodies or aquatic ecosystem are susceptible to heavy metal accumulation and can adversely afect the environment and human health especially in underdeveloped nations. Phytoremediation techniques of water bodies using aquatic plants or macrophytes are well established and are recognized as eco-friendly world over. Phytoremediation of heavy metals and other pollutants in aquatic environments can be achieved by using Ceratophyllum demersum L. — a well-known foating macrophyte. In vitro regenerated plants of C. demersum (7.5 g/L) were exposed to 24, 72, and 120 h to 0, 0.5, 1.0, 2.0, and 4.0 mg/L of cadmium (CdSO4·8H2O) in water. Results revealed signifcantly diferent relationship in terms of Cd in water, Cd uptake by plants, bioconcentration factor (BCF), and Cd removal (%) from water. The study showed that Cd uptake by plants and BCF values increased signifcantly with exposure time. The highest BCF value (3776.50) was recorded for plant samples exposed to 2 mg/L Cd for 72 h. Application of all Cd concentrations and various exposure duration yielded Cd removal (%) between the ranges of 93.8 and 98.7%. These results were predicted through artifcial intelligence–based models, namely, random forest (RF), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). The tested models predicted the results accurately, and the attained results were further validated via three diferent performance metrics. The optimal regression coefcient (R2) for the models was recorded as 0.7970 (Cd water, mg/L), 0.9661 (Cd plants, mg/kg), 0.9797 bioconcentration factor (BCF), and 0.9996 (Cd removal, %), respectively. These achieved results suggest that in vitro regenerated C. demersum can be efcaciously used for phytoremediation of Cd-contaminated aquatic environments. Likewise, the proposed modeling of phytoremediation studies can further be employed more comprehensively in future studies aimed at data prediction and optimization.Item Open Access Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H2O2) and light emitting diodes on in vitro grown industrial hemp (Cannabis sativa L.)(Springer Dordrecht, 2024-03-25) Aasim, Muhammad; Yildirim, Busra; Say, Ahmet; Ali, Seyid Amjad; Aytac, Selim; Nadeem, Muhammad AzharIndustrial hemp (Cannabis sativa L.) is a highly recalcitrant plant under in vitro conditions that can be overcome by employing external stimuli. Hemp seeds were primed with 2.0-3.0% hydrogen peroxide (H2O2) followed by culture under different Light Emitting Diodes (LEDs) sources. Priming seeds with 2.0% yielded relatively high germination rate, growth, and other biochemical and enzymatic activities. The LED lights exerted a variable impact on Cannabis germination and enzymatic activities. Similarly, variable responses were observed for H2O2 x Blue-LEDs combination. The results were also analyzed by multiple regression analysis, followed by an investigation of the impact of both factors by Pareto chart and normal plots. The results were optimized by contour and surface plots for all parameters. Response surface optimizer optimized 2.0% H2O2 x 918 LUX LEDs for maximum scores of all output parameters. The results were predicted by employing Multilayer Perceptron (MLP), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) algorithms. Moreover, the validity of these models was assessed by using six different performance metrics. MLP performed better than RF and XGBoost models, considering all six-performance metrics. Despite the differences in scores, the performance indicators for all examined models were quite close to each other. It can easily be concluded that all three models are capable of predicting and validating data for cannabis seeds primed with H2O2 and grown under different LED lights.Item Open Access Artificial neural network and decision tree facilitated prediction and validation of cytokinin‑auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)(Springer Dordrecht, 2023-04-05) Aasim, M.; Ali, Seyid Amjad; Altaf, M. T.; Ali, A.; Nadeem, M. A.; Baloch, F. S.In this study, in vitro regeneration protocol of sorghum (Sorghum bicolor) was successfully established by using direct organogenesis from a mature zygotic embryo explant. The used basal medium encompassed Murashige and Skoog medium (MS) supplemented with 2–4 mg/L Benzylaminopurine (BAP) alone or with 0.25 mg/L Indole butyric acid (IBA) or Naphthalene acetic acid (NAA). Results demonstrated a significant impact of cytokinin-auxin on shoot count (1.24–3.46) and shoot length (2.80–3.47 cm). Maximum shoot count (3.46) and shoot length (3.97 cm) were achieved on the MS medium enriched with 2 mg/L BAP + 0.25 mg/L NAA and 2.0 mg/L BAP, respectively. To ascertain the impact of BAP alone, BAP + IBA, and BAP + NAA, the data were also analyzed by using a factorial regression model. Pareto chart and normal plots were used to check either the positive or negative impact of input variables on output variables. To further explore the association between BAP + IBA and BAP + NAA on shoot count and shoot length, contour and surface plots were also built. Three different artificial intelligence-based models along with four different performance metrics were utilized to validate the predicted results. Multilayer perceptron (MLP) model performed more efficiently (R2 = 0.799 for shoot count and R2 = 0.831 for shoot length) as compared to the decision tree-based algorithms of random forest (RF) – (R2 = 0.779 for shoot count and R2 = 0.786 for shoot length) and extreme gradient boost (XGBoost) – (R2 = 0.768 for shoot count and R2 = 0.781 for shoot length). As plant tissue culture protocol is a powerful tool for genetic engineering and genome editing of crops, integration of different artificial intelligence-based models can lead to improvement of sorghum with the aid of biotechnological tools.