Continual Learning for Time Series Forecasting: A First Survey by Quentin Besnard, Nicolas Ragot

“…Deep learning has brought significant advancements in the field of artificial intelligence, particularly in robotics, imaging, sound processing, etc. However, a common major challenge faced by all neural networks is their substantial demand for data during the learning process. …”
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Provisioning of Live Container Migration in Edge/Cloud Environments: Techniques and Challenges by Radhwan Al-Bayram, Rawaa Qasha

“…In IoT applications and edge/cloud deployment, the live container migration can substantially reduce computing system overheads by minimizing the migration time and transmitting minimum memory pages from the source host without interrupting the service process. …”
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Autonomous Landing of a Fixed-Wing UAV With RTK GNSS and MEMS IMU by Lu Xia, Jianqing Li

“…The flight test results prove that it is feasible to implement the autonomous landing process of fixed-wing UAV with the proposed system and method.…”
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Security protocol of wireless sensor networks localization: analysis and performance by Omar Faruq, Fariha Ahmad Chowdhury, Abu Sazzad Md Parvez, Narayan Chandra Nath, Preanka Kabiraj

“…Our main objective is to secure the process of transferring data to the base station. …”
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The Sensors Connectivity within SCADA Automation Environment and New Trends for Security Development during Multicasting Routing Transmission by Aamir Shahzad, Kalum Priyanath Udagepola, Young-keun Lee, Soojin Park, Malrey Lee

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WebTephraCalc: a tephra fall volume estimation system using WebGIS and OGC web services by Joel Bandibas, Shinji Takarada

“…This is coupled with the formulation of web services used to access and process web-based geospatial contents. This paper presents a WebGIS system developed to compute tephra fall volume with exponential, power law, and Weibull models, as well as the segment integration computing method, using isopach tephra fall data accessed with web services. …”
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Prototyping of reliable notebooks based on simple replaceable components by Artem Tetskyi, Olexander Zheltukhin, Artem Perepelitsyn

“…The analysis of the constructional design features of modern laptops and portable computers is performed. The main components of notebook motherboard, including the processor, multicontroller, and host bridge, are analyzed. …”
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Enhanced YOLOv10 Framework Featuring DPAM and DALSM for Real-Time Underwater Object Detection by Suthir Sriram, Aburvan P., Arun Kaarthic T. P., Nivethitha Vijayaraj, Thangavel Murugan

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IMpc-PyrYOLO: Hybrid YOLO Based Feature Pyramidal Network for Pest Detection in Rice Leaves by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

“…Experimental results demonstrate that IP_RicePests attains a precision of 95.8%, recall of 96% and F1-score of 95.9%, whereas IP102 attains a higher precision of 97.8%, recall of 96%, mean Average Precision (mAP) of 95.9% and Intersection over Union (IoU) of 97% with processing time of 2.5 seconds. The proposed model significantly outperforms existing methods in accuracy and computational efficiency, which provides a robust and scalable solution for real-time pest detection in agriculture.…”
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Rapid global fitting of large fluorescence lifetime imaging microscopy datasets. by Sean C Warren, Anca Margineanu, Dominic Alibhai, Douglas J Kelly, Clifford Talbot, Yuriy Alexandrov, Ian Munro, Matilda Katan, Chris Dunsby, Paul M W French

“…It makes efficient use of both computer processor and memory resources, requiring less than a minute to analyse time series and multiwell plate datasets with hundreds of FLIM images on standard personal computers. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…Then, an efficient deep neural network mapping algorithm is designed and implemented for the microprocessing architecture and software programming framework of this edge processor, and a layout scheme is proposed to place the input feature maps outside the kernel DDR and the reordered convolutional kernel matrices inside the kernel storage body and to design corresponding efficient vectorization algorithms for the multidimensional matrix convolution computation, multidimensional pooling computation, local linear normalization, etc., which exist in the deep convolutional neural network model. …”
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CO2 absorption-desorption cycles: Progress, gaps, and future by Tohid N. Borhani, Mohammad Reza Abbasi, Morteza Hosseinpour, Mohsen Salimi, Morteza Afkhamipour, Eni Oko, Kyra Sedransk Campbell, Navid Kahllaghi

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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…Scheduling techniques are essential to increase resource utilization and task execution within modern computing environments. Round Robin Scheduling (RR) ensures a fair distribution of processes needing attention but often leads to inefficiencies in systems with heterogeneous tasks or different priorities due to large latency or resource usage differences. …”
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Equilibrium modelling of steam gasification of PKS system and CO2 sorption using CaO: A digitalized parametric and techno-economic analysis by Zakir Khan, Muhammad Shahbaz, Syed Ali Ammar Taqvi, Ahmed AlNouss, Tareq Al-Ansari, Usama Ahmed

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Compact Unidirectional Laser Based on All-Dielectric Metasurface With High Quality Factor by Ke Xu, Ming Fang, Zhixiang Huang

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A Fluid Flow‐Based Deep Learning (FFDL) Architecture for Subsurface Flow Systems With Application to Geologic CO2 Storage by Zhen Qin, Yingxiang Liu, Fangning Zheng, Behnam Jafarpour

“…Standard deep learning models, such as RUNET, have recently been proposed to alleviate the computational burden of physics‐based simulation models. …”
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Exploring the evolution of artificial intelligence in education: from AI-guided learning to learner-personalized paradigms by Mahadih Kyambade, Afulah Namatovu, Abdul Male Ssentumbwe

“…Advancements in computing and information technologies have significantly transformed educational practices. …”
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X-GANet: An Explainable Graph-Based Framework for Robust Network Intrusion Detection by Mainak Basak, Dong-Wook Kim, Myung-Mook Han, Gun-Yoon Shin

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Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature by Matilda Sipilä, Farrokh Mehryary, Sampo Pyysalo, Filip Ginter, Milica Todorović

“…Abstract Scientific literature provides a variety of experimental and theoretical data which, if extracted, could offer new opportunities for data-driven discovery in materials research. Natural language processing (NLP) tools enable information extraction (IE) of structured information from unstructured text. …”
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Edge Server Placement and Task Allocation for Maximum Delay Reduction by Koki Shibata, Sumiko Miyata

“…If a user is extremely far from the edge server, the network delay for that user will also increase. Conventional edge computing methods focus on reducing the average propagation delay of user-processing requests (tasks). …”
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