Balancing public safety and civil rights: Successes and challenges of AI-based video surveillance systems by S.S. Vaddiparti, F. Babaiev

“…The research examined the functional capabilities of intelligent video systems based on machine learning and deep learning. …”
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Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection by Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa

“…Conventional machine learning methods and typical Graph Neural Networks (GNNs) often struggle to capture the complexity and uncertainty in IIoT network traffic, which hampers their effectiveness in detecting intrusions. …”
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Demystifying the New Dilemma of Brain Rot in the Digital Era: A Review by Ahmed Mohamed Fahmy Yousef, Alsaeed Alshamy, Ahmed Tlili, Ahmed Hosny Saleh Metwally

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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…The surface area, pore size, surface functionalization, and hydrophobicity index of green porous adsorbents were examined. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…Thereafter, both networks are aggregated, and the learning network is designed to balance all the tasks by combining the loss functions of the classification and segmentation. …”
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Enhancing Negative Film Colorization through Systematic CycleGAN Architectural Modifications: A Comprehensive Analysis of Generator and Discriminator Performance by Khaulyca Arva Artemysia Khaulyca, Arief Suryadi Satyawan Arief, Mokhammad Mirza Etnisa Haqiqi Mirza, Helfy Susilawati Helfy, Beni Wijaya Beni, Sani Moch Sopian Sani, Muhammad Ikbal Shamie Ikbal, Firman Firman

“…This research addresses the urgent need for deep learning-based negative film colorization technology through systematic modifications to the CycleGAN architecture. …”
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Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…The Pareto optimal front was generated by MOCOA and the intrinsic mode functions of VMD with the best combination of K and $$\alpha$$ were obtained. …”
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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

“…GA handles feature selection, while PSO optimizes MLP hyperparameters (e.g., learning rate, neurons, activation functions). The model dynamically enhances classification accuracy and resilience, particularly for imbalanced datasets in loan default prediction. …”
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Muscarinic cannabinoid suppression of excitation, a novel form of coincidence detection by Michaela Dvorakova, Ken Mackie, Alex Straiker

“…Cultured autaptic hippocampal neurons express all of these, illustrating the rich functional and temporal heterogeneity of CB1 at a single set of synapses. …”
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INFORMATION AND SOFTWARE OF VIRTUAL REALITY TRAINING APPLICATION «NATURAL GAS DRYER PLANT» by D. A. Kuzmuk, O. A. Shovkoplias, B. O. Kuzikov

“…A multi-user mode and voice chat functionality have also been implemented to facilitate collaborative learning. …”
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Distinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians. by Danielle Ireland, Christina Rabeler, Sagar Rao, Rudy J Richardson, Eva-Maria S Collins

“…In this pilot study, our goal was to classify 19 neuroactive compounds into their functional categories: antipsychotics, anxiolytics, and antidepressants. …”
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Enhancing Wind Turbine Power Output Estimation Using Causal Inference and Adaptive Neuro-Fuzzy Inference System ANFIS by Ahmed A. Mostfa, Nawfal A. Zakar, Rasha Raad Al-Mola, Abdel-Nasser Sharkawy

“…Various practical experiments were conducted using different membership functions in neuro-fuzzy training to achieve the lowest possible mean square error. …”
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Screening and Validation: AI-Aided Discovery of Dipeptidyl Peptidase-4 Inhibitory Peptides from Hydrolyzed Rice Proteins by Cheng Cheng, Huizi Cui, Xiangyu Yu, Wannan Li

“…In this study, an AI-assisted virtual screening pipeline integrating machine learning, molecular docking, and molecular dynamics (MD) simulations was established to identify and evaluate rice-derived DPP-4 inhibitory peptides. …”
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A comprehensive review of tree cover mapping using satellite sensor data by Md. Shamim Reza Saimun, M. Mahmudur Rahman

“…Abstract Trees serve manifold ecosystem functions including climate change mitigation, biodiversity conservation, landscape restoration etc. yet are facing threats globally due to human intervention. …”
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Social aloofness is associated with non-social explore-exploit decisions by Evan Knep, Xinyuan Yan, Cathy S. Chen, Suma Jacob, David P. Darrow, R. Becket Ebitz, Nicola Grissom, Alexander B. Herman

“…Our findings additionally highlight the potential for using computational approaches to reveal general cognitive mechanisms underlying social functioning.…”
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Methodological Principles for Adapting of Performance Indexes of Classical Libraries for a Comprehensive Assessment of Electronic Library Systems in Vocational Education by Svetlana Ol. Potapova, Nikolai Dm. Ambrosenko, Olga A. Lysak

“…The regulatory and legal analysis covered the study of state standards and the provisions of Federal Law No. 273-Federal Law “On Education in the Russian Federation”, which ensured the verification of the compliance of the electronic library systems’ functionality with established educational requirements. …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…This paper delves into the potential impact of machine learning on fostering sustainability within smart buildings. …”
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An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells by Taras Savchenko, Ruslana Lakhtaryna, Anastasiia Denysenko, Anatoliy Dovbysh, Sarah E. Coupland, Roman Moskalenko

“…<b>Results</b>: The algorithm’s functional efficiency was evaluated on a dataset of 176 labeled cell images, yielding promising results: an accuracy of 89%, a precision of 85%, a recall of 84%, and an F1-score of 88%. …”
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Enhancing pipa tuning stability with piezoelectric materials: An adaptive system for real-time performance adjustment. by Kou Yawen

“…The NFIS utilised Gaussian membership functions to categorise sensor inputs into linguistic terms (e.g., "High Voltage," "Medium Temperature"), and a comprehensive rule base of 40 rules was established for adaptive tuning. …”
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A pursuit-evasion game robot controller design based on a neural network with an improved optimization algorithm by Mustafa Wassef Hasan, Luay G. Ibrahim

“…The ISCACT is tested based on five multimodal benchmark functions. The ISCACT has been used in two cases, the first case arises when ISCACT is used in the follower robot’s learning process. …”
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