Prediction of yield and quality in medicinal plant Ligusticum chuanxiong Hort. using uncrewed aerial vehicle multispectral measurement by Yun-Fan Li, Chen Wu, Hong-Mei Jia, Xi Chen, Jin-Niu Xing, Wei-Ping Gao, Zhu-Yun Yan

“…Accurate predicting the yield and quality of medicinal materials before harvest can effectively guide post-harvest process, including processing and storage, thereby ensuring the final quality of medicinal materials. …”
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Adaptive Weighted Diversity Ensemble Learning Approach for Fetal Health Classification on Cardiotocography Data by K. Aditya Shastry, Mohan Sellappa Gounder, T. G. Mohan Kumar, D. U. Karthik, V. Sushma, D. Subashree

“…Our proposed Adaptive Weighted Diversity Ensemble Model (AWD) incorporates Random Forest (RF), AdaBoost (AB), Gradient Boost (GB), and Support Vector Classifier (SVC) as base classifiers. …”
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Optimizing Bioleaching for Printed Circuit Board Copper Recovery: An AI-Driven RGB-Based Approach by Jordi Vives Pons, Albert Comerma, Teresa Escobet, Antonio D. Dorado, Marta I. Tarrés-Puertas

“…The gradient boosting model, optimized via response surface methodology (RSM), outperformed the others, with predictions matching 84% of observed patterns. …”
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Advancing Kidney Transplantation: A Machine Learning Approach to Enhance Donor–Recipient Matching by Nahed Alowidi, Razan Ali, Munera Sadaqah, Fatmah M. A. Naemi

“…(1) Background: Globally, the kidney donor shortage has made the allocation process critical for patients awaiting a kidney transplant. …”
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Enhancement of Nitrogen Retention in Cow Manure Composting with Biochar: An Investigation into Migration and Regulation Mechanisms by Zixi Han, Jianfei Zeng, Xu Zhao, Yanyan Dong, Ziyu Han, Tiezhu Yan

“…Microbial analysis showed that biochar could significantly enhance the regional competitiveness of microorganisms, such as <i>Cellvibrio</i>, thereby boosting the expression of functional genes involved in the nitrification process, including <i>amoABC</i>, hao, and <i>nxrAB</i>. …”
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Physicochemical characteristics, volatile components and bioactivities of fermented seasoning sauce produced from cricket (Acheta domesticus) meal by Milan Dhakal, Varongsiri Kemsawasd, Kanyawee Whanmek, Wimonphan Chathiran, Saranya Intawong, Warangkana Srichamnong, Uthaiwan Suttisansanee, Suwapat Kittibunchakul

“…Our results support the use of fermentation to process edible cricket products, thereby enhancing the value of cricket meal and potentially boosting the acceptance and consumption of insect-based foods.…”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE LEARNING USING LEARNING MANAGEMENT SYSTEMS: A SYSTEMATIC LITERATURE REVIEW by Oke Oluwafemi Ayotunde, Dashty Ismil Jamil, Nadire Cavus

“…It has become a door opener for many people in their different fields and have led to advancements in career areas as it plays a major role in boosting confidence, improving connection, communication, and so on. …”
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Models for analyzing the complexity of English words in the text on the scale from A1 to C2 by М. Бєліков, Т. Ліхоузова, Ю. Олійник

“…This approach will facilitate the language learning process by providing a personalized list of words to focus on. …”
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Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance by Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik

“…These findings underscore the potential of machine learning in advancing electrospinning technology by minimizing trial-and-error experiments and boosting nanofiber production efficiency. The incorporation of artificial intelligence-driven modeling into the electrospinning process sets the stage for more accurate control over fiber morphology, resulting in enhanced material properties and expanded applications in biomedical, environmental, and energy sectors.…”
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Non-Thermal Plasma-Catalytic Conversion of Biogas to Value-Added Liquid Chemicals via Ni-Fe/Al₂O₃ Catalyst by Milad Zehtab Salmasi, Razieh Es’haghian, Ali Omidkar, Hua Song

“…This study investigates the transformation of biogas (methane and carbon dioxide) into high-value liquid products using Ni/Al₂O₃, Fe/Al₂O₃, and Ni-Fe/Al₂O₃ catalysts in a non-thermal plasma (NTP)-assisted process within a dielectric barrier discharge (DBD) reactor, operating at room temperature and atmospheric pressure. …”
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Forecasting Range Shifts in Terrestrial Alpine Insects Under Global Warming by Fabio Leonardo Meza‐Joya, Mary Morgan‐Richards, Steven A. Trewick

“…Thus, future efforts should incorporate biological processes by using flexible hybrid niche modelling approaches to enhance the biological realism of predictions. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…This tool leverages the strengths of multiple regression-based and probabilistic machine learning methods, including LASSO (see the list of abbreviations in Appendix B), support vector machine, classification and regression trees, random forest, extreme gradient boosting, Gaussian process regression, and Bayesian ridge regression. …”
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Genetic Improvement of Banana for Resistance to Xanthomonas Wilt in East Africa by Anastasie Musabyemungu, Jaindra Nath Tripathi, Samwel K. Muiruri, Svetlana V. Gaidashova, Placide Rukundo, Leena Tripathi

“…Additionally, genetic engineering could speed up the process of crop improvement, especially for sterile seedless crops like bananas. …”
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Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data. by Adam J Kucharski, Justin Lessler, Jonathan M Read, Huachen Zhu, Chao Qiang Jiang, Yi Guan, Derek A T Cummings, Steven Riley

“…Accurately describing this immunological process requires a fundamental understanding of how the mechanisms of boosting and cross-reactivity respond to repeated infections. …”
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Categorization of Celebrity Photos Based on Deep Machine Learning for Feature Extraction and Classification by Salwa Shakir Baawi, Farah Jawad Al-Ghanim, Nisreen Ryadh Hamza

“…The results demonstrated that the highest accuracy (F-measure, Recall, and Precision) was achieved following the training and testing process in all datasets using the MLP and SGD classifiers. …”
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Comparative Study of Mesophilic Biomethane Production in Ex Situ Trickling Bed and Bubble Reactors by Apostolos Spyridonidis, Katerina Stamatelatou

“…Biomethane production via biogas upgrading is regarded as a future renewable gas, further boosting the biogas economy. Moreover, when upgrading is realized by the biogas CO₂ conversion to CH₄ using surplus renewable energy, the process of upgrading becomes a renewable energy storage method. …”
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Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography by Laihu Peng, Hao Fan, Yubao Qi, Jianqiang Li

“…Solid ink density is an important control parameter in the manufacturing process of offset prints—the size of which has a significant impact on the color performance of the prints—in which the determination of the optimal solid ink density is critical for the pre-press phase of industrial production. …”
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Optimizing concrete strength: How nanomaterials and AI redefine mix design by Dan Huang, Guangshuai Han, Ziyang Tang

“…However, the complex interactions between nanomaterials, SCMs, and cement make concrete mix design a challenging, iterative, and labor-intensive process, often relying on trial-and-error experimentation. …”
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Green economic development and entrepreneurship transformation by Aleksy Kwilinski, Oleksii Lyulyov, Tetyana Pimonenko

“…Implications & Recommendations: The empirical results allowed us to outline the following suggestions: 1) government policies should focus on initial investments in green practices, incentivizing businesses through financial mechanisms and robust regulations to foster economic and environmental sustainability; 2) enhancing green economic development requires simplifying the process for creating new businesses, particularly green startups, and offering financial and procedural support to inject innovation and economic vitality into the sector; 3) trade openness is crucial for boosting green economy productivity, necessitating policies that lower trade barriers while incorporating environmental standards to ensure sustainable growth; 4) fostering innovation in environmental technologies with increased government funding and strategic partnerships between academia, industry, and government needed to propel sustainable economic transformation. …”
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What enabled the successful implementation of a quality certification initiative in Bhavnagar, Gujarat? A policy analysis case study. by K Shruti Lekha, Sudha Ramani, Harsha Joshi, Preet Verma, Sumit Malhotra, Tapasvi Puwar, Chandramani Kumar, Ankita Shah, Anish Sinha, Deepak Saxena

“…This study consolidates empirical lessons for boosting quality certifications in similar contexts. …”
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