Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration by Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru

“…Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. …”
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A Novel Case Base Reasoning and Frequent Pattern Based Decision Support System for Mitigating Software Risk Factors by Muhammad Asif, Jamil Ahmed

“…The proposed model has four steps. Firstly, the input of the system has been designed where risk factors and mitigations have been inputted into it. …”
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The enhanced integration of proven techniques to quantify the uncertainty of forecasting extreme flood events based on numerical weather prediction models by Mitra Tanhapour, Jaber Soltani, Hadi Shakibian, Bahram Malekmohammadi, Kamila Hlavcova, Silvia Kohnova, Peter Valent

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Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

“…Finally, we employed transfer learning approach to achieve domain adaptation to external, unseen sites. …”
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Community health assessment of needs and continuous empowerment (CHANCE): a quantitative cross-sectional survey targeting primary health care nurses in Lebanon by Gladys Honein-AbouHaidar, Reem Hoteit, Sarah Chehayeb, Nuhad Dumit, Tamar Avedissian, Bahia Abdallah, Randa Hamadeh

“…This study aimed to assess the current use of core competencies among community-based nurses, identify their learning needs, and assess factors associated with training needs within PHC centers. …”
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Sequence modeling tools to decode the biosynthetic diversity of the human microbiome by Mohammed Salim Dason, Davide Corà, Angela Re

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Network Attack Detection for Business Safety by Fadia Abduljabbar Saeed, Ghalia Nassreddine, Joumana Younis

“…A network attack is an try to achieve unauthorized access to personnel of an organization’s network, steal data or perform other malicious activity. Machine Learning is a subset of artificial Intelligence techniques that teaches machines to learn from historical information. …”
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Translating Project Achievements into Strategic Plans: A Case Study in Utilization-Focused Evaluation by Ricardo Ramírez, Galin Kora, Dal Brodhead

“…Findings: The ‘facilitation of use’ (a step in UFE) provided a bridge between a summative and a developmental evaluation. …”
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Multi-objective synthesis planning by means of Monte Carlo Tree search by Helen Lai, Christos Kannas, Alan Kai Hassen, Emma Granqvist, Annie M. Westerlund, Djork-Arné Clevert, Mike Preuss, Samuel Genheden

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Modeling Higher-Order Interactions in Graphs Through Combinatorial Arc-Transitive Structure Using Graph Convolutional Network by Qingwei Wen

“…Traditional Graph Convolutional Networks (GCNs) have demonstrated success in graph representation learning, particularly in homophilic networks where nodes share similar features. …”
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Pedestrian Trajectory Prediction via Window Attention and Spatial Graph Interaction Network by Xiang Gu, Chao Li, Jie Yang, Jing Wang, Qiwei Huang

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Beyond Global Metrics: The U-Smile Method for Explainable, Interpretable, and Transparent Variable Selection in Risk Prediction Models by Katarzyna B. Kubiak, Agata Konieczna, Anna Tyranska-Fobke, Barbara Więckowska

“…Variable selection (VS) is a critical step in developing predictive binary classification (BC) models. …”
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A novel approach for the effective prediction of cardiovascular disease using applied artificial intelligence techniques by Azka Mir, Attique Ur Rehman, Tahir Muhammad Ali, Sabeen Javaid, Maram Fahaad Almufareh, Mamoona Humayun, Momina Shaheen

“…Abstract Aims The objective of this research is to develop an effective cardiovascular disease prediction framework using machine learning techniques and to achieve high accuracy for the prediction of cardiovascular disease. …”
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D-SPDH: Improving 3D Robot Pose Estimation in Sim2Real Scenario via Depth Data by Alessandro Simoni, Guido Borghi, Lorenzo Garattoni, Gianpiero Francesca, Roberto Vezzani

“…In this scenario, the availability of vision-based systems capable of detecting in real-time the robot’s pose is needed as a first step towards a safe and effective interaction to, for instance, avoid collisions. …”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

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PROJECTING OF THE INDIVIDUAL WORK OF STUDENTS STUDYING INFORMATICS by Mikhail I. Umansky

“…Efficient combination of the usage of patterns as the results of practical work and creative search for the best algorithms and procedures allows to move to the formation of cultural and professional competences in the course of informatics step by step.…”
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Performance of ChatGPT-4 Omni and Gemini 1.5 Pro on Ophthalmology-Related Questions in the Turkish Medical Specialty Exam by Mehmet Cem Sabaner, Zübeyir Yozgat

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The Russian language in the modern educational space of Lebanon by Anatolu Yu. Ustinov, Elena N. Demesheva, Galina V. Abbas

“…The aim of the study is to analyze the current state of Russian language learning, conditions for its further promotion and to propose the author’s methodology for the initial Russian language course (its content and methodological principles) within the framework of the general educational program “First Steps: from sound to letter, from letter to word”. …”
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THE FORMS OF EDUCATIONAL COOPERATION IN SCHOOL UNDER THE CONDITIONS OF IMPLEMENTATION OF THE FEDERAL STATE EDUCATIONAL STANDARDS by L. G. Puzep, Yu. A. Tereshchenko

“…The main components of learning technology in cooperation and stages of technological process of group work are presented. …”
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Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language(Mendeley Data). by Payman Sabr Rostam, Rebwar Mala Nabi

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