Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…Machine learning and ensemble methods allow researchers to model nonlinear relationships and manage high-dimensional data, improving the precision of predictions. …”
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Understanding Precipitation Moisture Sources and Their Dominant Factors During Droughts in the Vietnamese Mekong Delta by Keke Zhou, Xiaogang Shi

“…These findings are of great significance for understanding the moisture sources of precipitation and further improving drought prediction in the VMD.…”
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Mechanisms for Implementing the Potential of High-Tech Startups in the Field of Information and Communication Technologies by Lupak Ruslan L., Nakonechna Nataliya V.

“…The article highlights importance of forming the latest model of business process management (institutional and organizational mechanism), provision of financing, efficient management of cash flows and attraction of investment capital (financial and investment mechanism), integration of advanced technologies and innovative solutions and products (innovation and technological mechanism), improvement of human resources management, focused on attracting, development and efficient use of intellectual potential and staffing (intellectual and personnel mechanism) in the process of implementing the potential of high-tech startups. …”
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Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS. by Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonathan Beich, Jyotishman Pathak, Amit Sheth

“…The proposed approach can be integrated with clinical diagnostic interviews for improving suicide risk assessments.…”
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Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…The combination of the indole fragment, which demonstrates activity due to its aromatic structure, with the 1,2,4-triazole nucleus, which is characterised by chemical stability and the ability to form hydrogen bonds, creates a promising basis for the development of new therapeutic agents with improved properties. The active implementation of various modifications of indole and 1,2,4-triazole frameworks is aimed at optimizing the pharmacokinetic and pharmacodynamic characteristics of medicinal products. …”
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Mutual information-based radiomic feature selection with SHAP explainability for breast cancer diagnosis by Oladosu Oyebisi Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

“…MIRFS demonstrates significant performance improvements, addressing subjectivity and enhancing diagnostic accuracy through explainability. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…These algorithms are based on natural processes: ACO mimics the foraging behavior of ants, while ALO models the hunting strategy of ant-lion larvae. …”
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Stochastic Parameter Identification Method for Driving Trajectory Simulation Processes Based on Mobile Edge Computing and Self-Organizing Feature Mapping by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Jinchao Xiao, Honggang Wang, Shengpei Zhou, Xiaosong Liu, Ming Li

“…Two scenarios were modeled and tested: lane change with no vehicles in the target lane and lane change with vehicles in the target lane. …”
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Hybrid Tunnel Entrance Detection via Multiple Morphological Component-Based Texture Enhancement by Heng Huang, Jia Chen, Tao Chen, Jun Li, Antonio Plaza

“…Finally, a voting strategy is employed for postprocessing, aimed at improving the efficacy of tunnel entrance detection. …”
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RETRACTED: Energy Efficient Digital Omnichannel Marketing Based on a Multidimensional Approach to Network Interaction by Sergey Evgenievich Barykin, Sergey Mikhailovich Sergeev, Vyacheslav Vasilyevich Provotorov, Kristina Konstantinovna Lavskaya, Andrey Viktorovich Kharlamov, Tatiana Lvovna Kharlamova

“…In this study, authors have developed omnichannel interaction algorithms based on mathematical models. The proposed approach supplements the digital twin model with economic indicators and methods. …”
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The Impact of AI-Driven Application Programming Interfaces (APIs) on Educational Information Management by David Pérez-Jorge, Miriam Catalina González-Afonso, Anthea Gara Santos-Álvarez, Zeus Plasencia-Carballo, Carmen de los Ángeles Perdomo-López

“…In today’s digitalized educational landscape, the intelligent use of information is essential for personalizing learning, improving assessment accuracy, and supporting data-driven pedagogical decisions. …”
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Automated snow cover detection on mountain glaciers using spaceborne imagery and machine learning by R. Aberle, E. Enderlin, S. O'Neel, C. Florentine, L. Sass, A. Dickson, H.-P. Marshall, A. Flores

“…Widespread application of our automated snow detection workflow has the potential to improve regional assessments of glacier mass balance, land ice representations within Earth system models, water resources, and the impacts of climate change on snow cover across broad spatial scales.…”
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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…Meanwhile, optimizing DNNs architectures remains a challenge, as training these models is an NP-hard problem. Meta-heuristic algorithms offer an alternative to traditional gradient-based optimizers for improving DNNs performance. …”
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Computer Vision-Based Safety Monitoring of Mobile Scaffolding Integrating Depth Sensors by Muhammad Sibtain Abbas, Rahat Hussain, Syed Farhan Alam Zaidi, Doyeop Lee, Chansik Park

“…The qualitative analysis further confirms substantial improvements in worker position detection and safety compliance using 3D data over 2D approaches. …”
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Small Target Ewe Behavior Recognition Based on ELFN-YOLO by Jianglin Wu, Shufeng Li, Baoqin Wen, Jing Nie, Na Liu, Honglei Cen, Jingbin Li, Shuangyin Liu

“…In response to the poor performance of long-distance small target recognition tasks and real-time intelligent monitoring, this paper proposes a deep learning-based recognition method aimed at improving the ability to recognize and monitor various behaviors of captive ewes. …”
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Brachial Plexopathy in Head and Neck Cancer Potentially Related to LET-Dependent RBE by Abanob Hanna, Anthony Casper, Roi Dagan, Hardev S. Grewal, Jiyeon Park, Eric D. Brooks, Erik Traneus, Lars Glimelius, Perry B. Johnson, Mohammad Saki, Yawei Zhang, Twyla R. Willoughby, Julie A. Bradley, Jackson Browne, Mark E. Artz

“…Conservative treatment with pentoxifylline, gabapentin, and physical therapy improved his symptoms. (2) Methods: The original treatment plan was retrospectively analyzed using Monte Carlo dose algorithms and LET-dependent RBE models from McMahon and McNamara. …”
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LAF: Enhancing person re-identification via Latent-Assisted Feature Fusion by Minglang Li, Zhiyong Tao, Sen Lin, Kaihao Feng

“…Extensive experiments on five large-scale person re-identification benchmarks demonstrate that LAF consistently improves the performance of existing algorithms. Compared to state-of-the-art methods, LAF achieves superior results, including an mAP of 89.6% and Rank-1 accuracy of 95.9% on the Market1501 dataset, and an mAP of 63.3% with Rank-1 accuracy of 84.1% on the MSMT17 dataset. …”
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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

“…The early detection of brain tumors is critical for improving clinical outcomes and patient survival. However, medical imaging datasets frequently exhibit class imbalance, posing significant challenges for traditional classification algorithms that rely on balanced data distributions. …”
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Explainable machine learning prediction of internet addiction among Chinese primary and middle school children and adolescents: a longitudinal study based on positive youth develop... by Jiahe Liu, Lang Chen, Yuxin Chen, Jingsong Luo, Kexin Yu, Linlin Fan, Chan Yong, Huiyu He, Simei Liao, Zongyuan Ge, Lihua Jiang, Lihua Jiang

“…Feature selection and SHapley Additive exPlanations (SHAP) analysis were utilised for model improvement and interpretability, respectively.ResultsExtraRFC achieved the best performance (Test AUC = 0.854, Accuracy = 0.798, F1 = 0.659), outperforming all other models across most metrics and external validations. …”
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MTGNet: Multi-Agent End-to-End Motion Trajectory Prediction with Multimodal Panoramic Dynamic Graph by Yinfei Dai, Yuantong Zhang, Xiuzhen Zhou, Qi Wang, Xiao Song, Shaoqiang Wang

“…This approach not only captures global relationships but also enhances the focus on local features within the scene, thereby improving the model’s sensitivity to local information. …”
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