Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

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A Backdoor Attack Against LSTM-Based Text Classification Systems by Jiazhu Dai, Chuanshuai Chen, Yufeng Li

“…We consider the backdoor attack in black-box setting, where the adversary has no knowledge of model structures or training algorithms except for a small amount of training data. …”
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Pruritus in Uremic Patients: Approaches to Alleviating a Common Symptom in Chronic Kidney Disease by Ștefania Cîrstea, Olguța Anca Orzan, Diana Silvia Zilișteanu

“…Personalized treatment strategies are crucial, as responses vary among patients. Further research, including comparative and long-term studies, is essential to refine treatment algorithms and improve patient outcomes. …”
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Leveraging artificial intelligence to assess the impact of COVID-19 on the teacher-student relationship in higher education. by Md Juwel Ahmed Sarker, Mahmudul Hasan, Alamgir Kabir, Abdullah Haque

“…We employed a subset of Artificial Intelligence (unsupervised machine learning) algorithms K-Modes clustering and Non-negative matrix factorization to cluster the data according to its internal structure. …”
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Explainable data mining model for hyperinsulinemia diagnostics by Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic

“…ABSTRACTIn our research, we present a data mining model for the early diagnosis of hyperinsulinemia, potentially reducing the risk of diabetes, heart disease, and other chronic conditions. …”
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Assessing the impact of stimulation environment and error probability on ErrP EEG response, detection and subject attention: an explorative study by Andrea Farabbi, Luca Mainardi

“…Moreover, a significant correlation between attention-related features and ErrP characteristics was observed, highlighting the intricate relationship between error processing and attentional engagement.RelevanceThese findings underscore the importance of considering stimulus environments and error probabilities in cognitive neuroscience research and machine learning applications. Understanding these factors can inform experimental design and model development, ultimately advancing our comprehension of cognitive processes and enhancing real-world applications of machine learning algorithms.…”
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Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology by Lin Qi, Chaoran Chen, Jun Dong

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Hybrid MPPT Strategy: Optimizing SEIG Performance in Wind Energy Installation by Fadi Ouafia, Abbou Ahmed, Gaizen Soufiane

“…This research delves into the comparative effectiveness of two MPPT strategies within wind energy conversion systems that utilize a self-excited induction generator (SEIG). …”
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PreSCAN: A Comprehensive Review of Pre-Silicon Physical Side-Channel Vulnerability Assessment Methodologies by Md Kawser Bepary, Tao Zhang, Farimah Farahmandi, Mark Tehranipoor

“…We explore the intricacies of cryptographic algorithms, various side-channel attacks, and the latest mitigation techniques. …”
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A Systematic Review of CNN Architectures, Databases, Performance Metrics, and Applications in Face Recognition by Andisani Nemavhola, Colin Chibaya, Serestina Viriri

“…The databases span from early datasets like Olivetti Research Laboratory (ORL) and Facial Recognition Technology (FERET) to more recent collections such as MegaFace and Ms-Celeb-1M, offering a range of sizes, subject diversity, and image quality. …”
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INFORMATION TECHNOLOGY FOR AUTOMATED ANALYSIS OF DEGRADATION AND RESTORATION PROCESSES OF COMPLEX ORGANIZATIONAL AND TECHNICAL SYSTEMS by Andrey V. Tristan, Sergey V. Osiyevskiy, Valery G. Patalaha

“…Employment of the decision support systems (DSS) both in composition perspective control and combat systems and as separate programmatic modules is the long-range scientific research of contemporaneity, related to creation of intellectual information technologies. …”
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Third-Party Reverse Logistics Selection: A Literature Review by Samin Yaser Anon, Saman Hassanzadeh Amin, Fazle Baki

“…Deterministic decision-making models employ predefined criteria and variables, utilizing mathematical algorithms to assess factors such as cost, reliability, and capacity across various geographical regions. …”
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A framework for conceptualizing integrated prescriptive maintenance and production planning and control models by Kevin Wesendrup, Bernd Hellingrath, Zoi Nikolarakis

“… Goal: This study aims to support researchers and managers in conceptualising new integrated prescriptive maintenance (PxM) and production planning and control (PPC) models. …”
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Self-Prioritizing Multi-Agent Reinforcement Learning for Conflict Resolution in Air Traffic Control with Limited Instructions by Jens Nilsson, Jonas Unger, Gabriel Eilertsen

“…Automated conflict resolution has been an active area of research for decades, and in more recent years, reinforcement learning has been suggested as a powerful alternative to traditional algorithms. …”
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Data analysis methods in astronomic objects classification (Sloan Digital Sky Survey DR14) by V. A. Golov, D. A. Petrusevich

“…The large quantity of statistical information leads to the demand for analytical algorithms and systems capable of making classification. …”
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The Analysis of the Possibility to Conduct Orbital Manoeuvres of Nanosatellites in the Context of the Maximisation of a Specific Operational Task by Magdalena Lewinska, Michal Kedzierski

“…It is suggested that future research should develop towards more advanced optimisation techniques, such as artificial intelligence algorithms that may additionally improve the precision and efficiency of planning orbital trajectories.…”
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Enhanced safety and efficiency in traction elevators: a real-time monitoring system with anomaly detection by Safa Ozdemir, Osamah N. Neamah, Raif Bayir

“…Data from an electric elevator was analyzed with three anomaly detection algorithms: Isolation Forest, Support Vector Machine (SVM), and Z-score. …”
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Human action recognition based on low- and high-level data from wearable inertial sensors by Irvin Hussein Lopez-Nava, Angélica Muñoz-Meléndez

“…A set of features related to human limb motions is extracted from the orientation signals (high-level data) and another set from the acceleration raw signals (low-level data) and both are used to build classifiers using four inference algorithms. The proposed features in this work are the number of movements and the average duration of consecutive movements. …”
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Application of artificial intelligence technologies in HR management by S. V. Okladnikova, A. S. Pankrashov

“…Based on the fact that in the field of AI, methods mean algorithms by which tasks are solved, the following number of methods related to AI theory were identified: neural networks, fuzzy logic, expert systems, evolutionary modeling, Machine Learning.Result. …”
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IMPROVEMENT OF THE RUSSIAN CITIES’ TRANSPORT INFRASTRUCTURE by E. A. Safronov, K. E. Safronov

“…Therefore, the developed algorithms and recommendations for reducing the volume of transport infrastructure helps to improve its performance and availability. …”
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