Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

“…The technology has developed to rectify the problems using some machine learning algorithms like Random Forest algorithms, Decision trees, Naïve Bayes, KNN, K-Means clustering, Support vector machines. …”
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Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding. by Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

“…To demonstrate the effectiveness of the NMF-WR model and the proposed algorithms, we conduct experiments on popular datasets, focusing on topic modeling and document clustering. …”
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A Review of Learning-Based Methods for Adaptive Video Streaming Over HTTP by Hala Amer, Mohamed S. Hassan, Mahmoud H. Ismail

“…The surge in video traffic is not only straining network resources but also causing a decline in video quality. To address these challenges, machine learning algorithms leverage data-driven techniques to optimize video delivery, improve QoE, and reduce network congestion. …”
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Implementation of Generative Artificial Intelligence in Sociological Research by V. E. Drach, Yu. V. Torkunova

“…Ethical aspects related to the use of GAI are also discussed, such as issues of confidentiality and algorithmic bias.Conclusion. …”
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Prospects of phytopreparations based on Calendula officinalis in complex treatment of chemical burn of the esophagus by M. L. Voskresenskaya, A. N. Plekhanov, B. D. Dorzhiev, S. V. Tsyrempilov

“…Herbal remedies are comparable in effectiveness, but also have the combined multivalent effect on the entire body, causing minimum of side effects. …”
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Multi-Objective Performance Evaluation Framework for Integrated Fiber-Reinforced Shading Systems by Salman Oukati Sadegh, Emad Tabadkani, Mahmoud Oukati Sadegh

“…The proposed framework benefits from integrating Multi-objective Evolutionary Algorithms (MOEAs). Such algorithms have proven to address conflicting parameters effectively while providing a range of different solutions to problems. …”
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning by Xueshen Li, Yu Gan, David Duan, Xiao Yang

“…The proposed combination of algorithms has demonstrated the feasibility of assisting in the evaluation of human gastric motility.…”
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The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024) by Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna

“…The study provides valuable insights for selecting appropriate algorithms that are tailored to specific research objectives and contexts.…”
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Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. by Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E Urai, C Daniel Salzman, International Brain Laboratory, John P Cunningham, Liam Paninski

“…Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for computer vision algorithms that extract useful information from video data. …”
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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…However, critical concerns such as algorithmic bias, data quality limitations, and governance challenges introduce significant obstacles to their deployment. …”
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Tight basis cycle representatives for persistent homology of large biological data sets. by Manu Aggarwal, Vipul Periwal

“…Here, we provide a strategy and algorithms to compute tight representative boundaries around nontrivial robust features in large data sets. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems by Yussuf Ahmed, Kehinde Beyioku, Mehdi Yousefi

“…However, this growth has also ushered in a wave of cyberattacks targeting these often‐vulnerable systems. …”
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Hybrid Filtering Technique for Accurate GNSS State Estimation by Jahnvi Verma, Nischal Bhattarai, Thejesh N. Bandi

“…For the real-world dynamic dataset, our method also provides a better fit to the measurements than the classical algorithms.…”
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Early detection of plant leaf diseases using stacking hybrid learning. by Abdullah Sheneamer

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”
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GREEN ECONOMY AND HOLISTIC PLANNING BY ARTIFICIAL INTELLIGENCEAPPLICATION by STEVOVIC IVAN, HADROVIĆ SABAHUDIN, JOVANOVIC MIHAILO

“…However, the widespread adoption of AI in the green economy also raises concerns regarding data privacy, algorithmic bias, and job displacement. …”
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Multimodal sensor dataset for monitoring older adults post lower limb fractures in community settings by Ali Abedi, Charlene H. Chu, Shehroz S. Khan

“…These platforms can also alert clinicians to individuals at risk of social isolation and functional decline. …”
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The Role of Artificial Intelligence in Criminal Investigations in India by Kumar Navin

“…However, this use of AI in Criminal Investigation also raises concerns, particularly in the space of privacy and surveillance, protection of data and algorithmic bias. …”
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Discussion on Artificial Intelligence Safety and Ethical Issues by Chen Xinyu, Hui Tianfang, Li Yanlin, Yang Haoyuan

“…It also highlights the importance of increasing the transparency and explainability of AI to enhance public trust. …”
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Thermal one-point functions and their partial wave decomposition by Ilija Burić, Francesco Russo, Volker Schomerus, Alessandro Vichi

“…With the help of Casimir differential equations we develop efficient algorithms to compute the relevant conformal blocks for an external field of arbitrary spin and with any spin exchange along the thermal circle, at least in three dimensions. …”
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