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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning
Published 2025-01-01“…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
Published 2024-10-01“…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
Published 2025-01-01“…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.
Published 2024-01-01“…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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AnimalMotionViz: An interactive software tool for tracking and visualizing animal motion patterns using computer vision
Published 2025-05-01“…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
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Inquest of Current Situation in Afghanistan Under Taliban Rule Using Sentiment Analysis and Volume Analysis
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A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling
Published 2022-01-01“…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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Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects
Published 2025-01-01“…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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Causality-Sensitive Scheduling to Reduce Latency in Vehicle-to-Vehicle Interactions
Published 2024-11-01Get full text
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Natural Language Processing Tools and Workflows for Improving Research Processes
Published 2024-12-01Get full text
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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments
Published 2025-08-01“…Finally, channel pruning is applied to remove inefficient channels, effectively reducing computational costs and optimizing resource allocation efficiency. …”
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BLformer: a short-term electrical bus load forecasting method based on enhanced Patch-TSTransformer
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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework
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