Spatiotemporal changes in the congestion index of streets and roads in the armed conflict conditions by Anna Sotnikova, Moeid Qurashi, Steven Travis Waller

“…The paper explores the dynamics of these changes and ways to adapt urban transportation systems to war conditions. …”
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Microplastics in Weras Ganga, Bolgoda North Lake, Sri Lanka: A Reflection of Urban Waste Mismanagement by Mahesh Jayaweera, Shakthi Bastians, Janith Dissanayake, Chamini Hemachandra, Thilomi Samarakoon

“…Microplastic (MP) pollution has emerged as a significant environmental issue, especially within urban riverine systems affected by inadequate waste management practices. …”
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The Problem of Uncertainty in Social Sciences (Exemplified by Economics and Sociology) by Marina V. Nenasheva

“…It is argued that in a dynamically changing world, all the risks cannot be assessed, which highlights the importance of understanding the nature of uncertainty and identifying its parameters and attributes. …”
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Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks by T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Ibrahim Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali

“…In this model, out of three paramount parameters, namely Handover Probability (HOP), Outage Probability (OP) and Ping Pong Handover Probability (PPHP), the main issue is to minimize signal degradation and service interruption via simultaneous optimization of these three parameters. …”
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ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data. by Hannah Waddel, Katia Koelle, Max S Y Lau

“…We develop a computationally-efficient data-augmentation Markov Chain Monte Carlo algorithm, inferring key model parameters and unobserved dynamics including the transmission tree. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

“…The classifier parameters are tuned using the modified mixed attention and search optimization. …”
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Construction of application platform for operational data of natural gas pipeline network by Hongtao DIAO, Weichao YU, Kaihong WANG, Huai SU, Yi ZHANG, Zhaoming YANG

“…It also supports the creation of a physical parameter database for the pipeline network system. …”
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A Multi-Mode Active Control Method for the Hydropneumatic Suspension of Auxiliary Transport Vehicles in Underground Mines by Jianjian Yang, Kangshuai Chen, Zhen Ding, Cong Zhao, Teng Zhang, Zhixiang Jiao

“…Finally, a fuzzy-logic-based sliding mode controller is designed to dynamically map the road surface grade information to the controller’s parameters. …”
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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

“…TLBO produced a simpler model with 4,145 parameters, whereas SPBO generated a more complex architecture with 264,065 parameters but completed optimization faster (116 vs. 148 min). …”
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Influence of material orientation, loading angle, and single-shot repetition of laser shock peening on surface roughness properties by Lebogang Lebea, Lebogang Lebea, Dawood Desai, Harry Ngwangwa, Fulufhelo Nemavhola

“…A numerical model is developed using the commercial finite elements software in ABAQUS/Explicit for simulating dynamic conditions. The aim of the study is to develop surface roughness parameters using computational methods such as studies have not yet been contemplated. …”
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Influence of vibratory stimuli on postural muscle tone adjustments and sensation of discomfort in seated posture by Salim ZENASNI, Erick DOUSSET, Mitsuko ARAMAKI, Richard KRONLAND-MARTINET, Sølvi YSTAD, Jocelyn MONNOYER, Tanguy MARQUESTE

“…The aim of the present study is to describe and understand this influence by measuring objective parameters (muscular electrical activity) and subjective parameters (sensation of discomfort). …”
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Over-the-Air Testing of Cognitive Radio Nodes in a Virtual Electromagnetic Environment by Rajesh K. Sharma, Wim Kotterman, Markus H. Landmann, Christopher Schirmer, Christian Schneider, Frank Wollenschläger, Giovanni Del Galdo, Matthias A. Hein, Reiner S. Thomä

“…A complex interference scenario arises due to the attempt to simultaneously utilize several opportunity dimensions such as frequency, time, direction (space), and polarization, in a dynamic manner in a multiuser scenario. Although MIMO-OTA testing addresses many limitations of single antenna-conducted test systems, more dimensions and parameters to be addressed in the new scenarios imply further increase in cost and complexity. …”
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Wellbore stability analysis based on the combination of geomechanical and petrophysical studies by Abdolmanan Ounegh, Atefeh Hasan-Zadeh, Mohammad Mohammadi Khanaposhtani, Yousef Kazaemzadeh

“…Ignoring geomechanical studies and tools has led to millions of dollars in additional costs related to drilling, meshwork optimization, production optimization, casing collapse, and other issues. These costs can be managed with a thorough geomechanical study. …”
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Analyzing the Impact of Binaural Beats on Anxiety Levels by a New Method Based on Denoised Harmonic Subtraction and Transient Temporal Feature Extraction by Devika Rankhambe, Bharati Sanjay Ainapure, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon

“…To address the challenge of fine-grained temporal dynamics, an Embedded Transfo XL Recurrent Network is introduced to detect and extract relevant parameters associated with transient events in EEG data. …”
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Evolutionary biology and life histories by C. R. Brown, D. L. Thomson

“…Conceptually, marked similarities exist in the dynamic processes underlying population ecology and those underlying evolutionary biology. …”
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MSALNet: a multi-scale adaptive learning network for high-resolution remote sensing scene classification by Chao Yang, Chengbo Wei, Yiming Zhao, Liming Wang, Peigang Xu, Kunlun Qi, Yuanzheng Shao, Huayi Wu

“…It then learns optimal scale parameters from these features to generate scale-transformed representations tailored to different scene contexts. …”
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Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…However, the reduction in structural stiffness has led to an increase in aeroelastic issues, some of which have resulted in catastrophic failures around the world, posing significant challenges. …”
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LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design by Yuqi Han, Chengcheng Wang, Hui Luo, Huihua Wang, Zaiqing Chen, Yuelong Xia, Lijun Yun

“…The SegNext Attention mechanism improves target focus while suppressing background noise, and the dynamic detection head (DyHead) optimizes multi-dimensional feature weighting for robust detection. …”
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Time-Dependent Analysis of the Interaction Between Energy Harvesting, Leakage, and Consumption Processes in a Green IoT Device by Godlove Suila Kuaban, Tadeusz Czachorski, Erol Gelenbe, Piotr Czekalski

“…Despite these advancements, energy storage systems (ESSs) face issues such as capacity degradation, leakage, and charge redistribution, which can lead to energy depletion and service disruptions. …”
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Genetic Algorithm-Driven Joint Optimization of Task Offloading and Resource Allocation for Fairness-Aware Latency Minimization in Mobile Edge Computing by Mohamed Elkawkagy, Ibrahim A. Elgendy, Samia Allaoua Chelloug, Heba Elbeh

“…Mobile Edge Computing (MEC) alleviates latency and bandwidth strain on centralized cloud infrastructures by enabling the offloading of tasks to proximal edge servers, yet resource optimization in dense dynamic networks remains an open problem. This paper proposes a genetic algorithm (GA)-based approach to jointly optimize three important parameters: 1) the proportion of tasks offloaded to mobile edge servers (MES), 2) channel bandwidth allocation, and 3) computational resource allocation, in order to minimize the total task completion time with fairness among user devices (UDs). …”
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