Reducing the Effects of City Heat Islands Through Cool Pavement Materials (Case Study: District 8 of Tabriz Metropolis) by Asghar Abedini, Mojtaba Azmoun, Kiarash Azarkish, Sina Moshtaghi

“…The objectives of this research included extracting, locating and analyzing the phenomenon of urban heat islands in the study area by using specific algorithms and preparing relevant maps and checking with the type of materials used, identifying two hot heat islands in the center and west with a temperature of 33.48 degrees Celsius and one island It followed a cold temperature in the north of the region with a temperature of 20.02 degrees Celsius. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…To achieve this goal, this investigation relies on Drinking (Dr)-Water Quality Index (WQI) and multivariate statistical techniques including discriminant analysis (DA), to assess the variations of surface water quality in the selected region. Again, this research used a strong methodology by incorporating Machine learning (ML) algorithms, such as: Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Machine (SVM), and Linear Regression Model (LRM), were applied to forecast and confirm the quality of the water. …”
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Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…Compared with domestic research, foreign research in this area is scarcer, but the field as a whole shows a good development trend and broad application prospects. …”
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NSDLib: A comprehensive python library for network source detection and evaluation by Damian Frąszczak, Edyta Frąszczak

“…It is easy to integrate and offers a range of algorithms for source detection, including evaluating node importance, identifying outbreaks, and reconstructing propagation graphs. …”
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Trust in Smart City Mobility Applications: A Multi-Agent System Perspective by Maryam Javaherian

“…Using Reinforcement Learning (RL) and Social Network (SN) concepts, the methodology classifies agents as trustworthy or untrustworthy, tackling multi-agent system challenges in uncertain environments. The research aims to create algorithms and models for safe, efficient, sustainable mobility solutions, addressing data exchange and decision-making issues. …”
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Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective by Elham Tabrizi, Mohadeseh Farzammehr

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A Comprehensive Review of Ship Automatic Rudder Technology: Development, Challenges, and Prospects by Minjie Zheng, Qianqiang Chen, Daowei Yan, Yawei Zhang

“…Second, a thorough literature review is conducted, focusing on the fundamental components of automatic rudder technology, encompassing sensor technologies, control algorithms, and basic functionalities, including both the latest advancements and the distinct traits of various technological approaches and algorithms. …”
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Reinforcement learning for autonomous underwater vehicles (AUVs): navigating challenges in dynamic and energy-constrained environments by Mohab M. Eweda, Karim ElNaggar

“…The review synthesizes findings from multiple studies, identifies gaps in existing research, and highlights the potential of algorithms such as Deep Deterministic Policy Gradient (DDPG) for continuous control tasks. …”
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Minimizing Human Intervention in the Development of Basal Ganglia-Inspired Robot Control by F. Montes-Gonzalez, T. J. Prescott, J. Negrete-Martinez

“…This winner is then allowed access to the motor plant whilst losing behaviours are suppressed. In previous research we have focused on the development of this biomimetic selection architecture, and have therefore used behavioural modules that were hand-coded as algorithmic procedures. …”
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Ultrasound-based 3D bone modelling in computer assisted orthopedic surgery – a review and future challenges by Benjamin Hohlmann, Peter Broessner, Klaus Radermacher

“…This survey summarizes the state-of-the-art in this field by introducing employed algorithms, and determining challenges and trends. For segmentation, a clear trend toward machine learning-based algorithms can be observed. …”
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Adaptation of the competence approach to the methodology of training it specialists in the field of programming by E. V. Savina, K. Ya. Radjabov, T. I. Isabekova

“…Substantiation of the expediency of using the proposed methodology for the formation of evaluation materials in the training of IT specialists in the field of programming, followed by its use within the framework of traditional and distance learning technologies in the higher education system. Method. The research methods include: analysis of evaluation materials; methods based on algorithms for decomposing the program code proposed for solving the problem; methods for analyzing data from open sources, methods for analyzing algorithms and data structures. …”
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Advancements and challenges in inverse lithography technology: a review of artificial intelligence-based approaches by Yixin Yang, Kexuan Liu, Yunhui Gao, Chen Wang, Liangcai Cao

“…The ILT leverages optimization algorithms to generate mask patterns, outperforming traditional optical proximity correction methods. …”
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Energetic basis in rational constructions projection by Panchenko Larisa, DRUZHININA Tatyana

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Human rights, vulnerability and artificial intelligence: an analysis in constitutional perspective by Jorge Castellanos Claramunt

“…An assessment is made of the areas of special protection for these people in relation to the use of AI, and discrimination arising from algorithmic biases is discussed. The conclusions highlight the need for legal research in the field of AI to focus on ensuring that technological progress does not undermine human rights acquired over time. …”
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How news media frame data risks in their coverage of big data and AI by Dennis Nguyen

“…The present study addresses this research gap and introduces the concept of “data risks”. …”
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A Variational Bayesian Truncated Adaptive Filter for Uncertain Systems with Inequality Constraints by Tianli Ma, Rong Zhang, Song Gao, Hong Li, Yang Zhang

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Short-Term Prediction of Traffic Flow Based on the Comprehensive Cloud Model by Jianhua Dong

“…These algorithms are designed to address the short-term traffic flow prediction problem. …”
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Achieving Distributed Consensus in UWB Sensor Networks: A Low Sampling Rate Scheme with Quantized Measurements by Lorenzo Taponecco, Luca Sanguinetti

“…Distributed consensus in sensor networks has received great attention in the last few years. Most of the research activity has been devoted to study the sensor interactions that allow the convergence of distributed consensus algorithms toward a globally optimal decision. …”
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Comparison of the new formulation of the Radiation Network Method with the Radiosity Method in the analysis of radiative heat transfer by Rafał Buczyński

“…The paper contains a comparative research of radiative heat transfer in enclosures using the newly reformulated (modified) the Radiation Network Method (RNM) and the Radiosity Method (RM). …”
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Speech Signal Enhancement Techniques by Chouki Zegar, Abdelhakim Dahimene

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