Harnessing the Power of Multi-Source Media Platforms for Public Perception Analysis: Insights from the Ohio Train Derailment by Tao Hu, Xiao Huang, Yun Li, Xiaokang Fu

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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

“…The paper addresses the limitations of cloud computing systems. It proposes and replaces a fog computing architecture in supporting low latency for healthcare applications. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…An increasing number of tasks now demand data processing directly at the source, which limits the available computational resources. …”
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Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

“…This paper presents a mathematical model to solve the multi-stage transmission network expansion planning (MTNEP) problem considering renewable energy sources (RES) and the allocation of energy storage systems (ESSs). …”
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Computational models for improving surveillance for the early detection of direct introduction of cassava brown streak disease in Nigeria. by Alex C Ferris, Richard O J H Stutt, David S Godding, Ibrahim Umar Mohammed, Chukwuemeka K Nkere, Angela O Eni, Justin S Pita, Christopher A Gilligan

“…Cassava is a key source of calories for smallholder farmers in sub-Saharan Africa but its role as a food security crop is threatened by the cross-continental spread of cassava brown streak disease (CBSD) that causes high yield losses. …”
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Rolling Bearing Dynamics Simulation Information-Assisted Fault Diagnosis with Multi-Adversarial Domain Transfer Learning by Zhe Li, Zhidan Zhong, Zhihui Zhang, Wentao Mao, Weiqi Zhang

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AnimalMotionViz: An interactive software tool for tracking and visualizing animal motion patterns using computer vision by Angelo L. De Castro, Jin Wang, Jessica G. Bonney-King, Gota Morota, Emily K. Miller-Cushon, Haipeng Yu

“…Therefore, we developed an open-source computer vision software tool, AnimalMotionViz, that allows users to track and visualize group-level dairy cattle movement patterns using motion maps. …”
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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

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Inquest of Current Situation in Afghanistan Under Taliban Rule Using Sentiment Analysis and Volume Analysis by Ernesto Lee, Furqan Rustam, Imran Ashraf, Patrick Bernard Washington, Manideep Narra, Rahman Shafique

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Analysing agricultural distress in the eastern plateau of West Bengal's Rarh Region: integrating hybrid deep ensemble and GIS-based soft computing by Gopal Chowdhury, Ashis Kumar Saha

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Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects by Soheil Mohseni, Alan C. Brent

“…These integrated resource planning endeavours primarily aim to minimise total discounted system costs while adhering to a network of interconnected technical constraints, encompassing considerations of reliability, resilience, and the integration of renewable energy sources. In this intricate landscape, the interdependence of optimisation variables that underlie sustainable energy system planning and optimisation processes underscores the critical role of advanced computational models, notably optimisation algorithms and forecasting techniques, as well as innovative business models tailored to renewable energy in the context of diverse distributed energy options. …”
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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data by Y. Liu, S. Liang, R. Guo, W. Wang, D. Ma, Y. Zheng, L. Zhang, Q. Liu, X. Li

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A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling by Saket Acharya, Umashankar Rawat, Roheet Bhatnagar

“…The transfer learning approach minimizes new training data by transferring well-known features from a qualified source model to a destination model, and hence, a high amount of computational power is not required. …”
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Coordinated recovery of interdependent power and water distribution systems by Luis Rodriguez‐Garcia, Mathaios Panteli, Masood Parvania

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A distributed week-ahead scheduling method for the charging / discharging of plug-in electric vehicles integrated into the grid by Yan Cui, Zechun Hu, Yujian Wan, Junsong Li, Chengcheng Shao, Zhiyuan Bao, Xiaoyu Duan

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Natural Language Processing Tools and Workflows for Improving Research Processes by Noel Khan, David Elizondo, Lipika Deka, Miguel A. Molina-Cabello

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Causality-Sensitive Scheduling to Reduce Latency in Vehicle-to-Vehicle Interactions by Hojeong Lee, Seungmo Kang, Hyogon Kim

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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework by Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku

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Adaptive bayesian sparse polynomial chaos expansion for voltage balance of an isolated microgrid at peak load by Sunil Kumar, Rashmi Agarwal, Harivardhagini Subhadra

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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT by Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke

“…Abstract Background Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. …”
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