Edge Computing-Aided Dynamic Wireless Charging and Trip Planning of UAVs by Palwasha W. Shaikh, Hussein T. Mouftah

“…The proposed system leverages IEC for local data processing to reduce latency and optimize energy management, 6G networks for real-time vehicle-to-infrastructure (V2I) communication, and DWC to enable efficient, on-the-go energy replenishment. …”
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Food Fraud in Plant-Based Proteins: Analytical Strategies and Regulatory Perspectives by Jun-Hyeok Ham, Yeon-Jung Lee, Seung-Su Lee, Hae-Yeong Kim

“…Food fraud and adulteration have been persistent issues affecting food supply chains throughout history. …”
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Impact of COVID-19 Case Numbers on the Emission of Pollutants from a Medical Waste Incineration Plant by Monika Załuska, Anna Justyna Werner-Juszczuk, Katarzyna Gładyszewska-Fiedoruk

“…Thermal processing is characterised as a method of medical waste utilisation. …”
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Chinese Medical Named Entity Recognition Based on Context-Dependent Perception and Novel Memory Units by Yufeng Kang, Yang Yan, Wenbo Huang

“…The GLMU can efficiently capture long-distance dependencies, while the RMN enhances multi-level semantic information processing. The model also incorporates fully connected layers (FC) and conditional random fields (CRF) to further optimize the performance of entity classification and sequence labeling. …”
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Deep learning and satellite remote sensing for biodiversity monitoring and conservation by Nathalie Pettorelli, Jake Williams, Henrike Schulte to Bühne, Merry Crowson

“…Deep learning represents a group of versatile approaches to image processing tasks that are increasingly combined with satellite remote sensing imagery to monitor biodiversity and inform ecology and conservation, yet an overview of the opportunities and challenges associated with this development has so far been lacking. …”
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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…These analyses highlight a significant enhancement in the classification accuracy of hyperspectral images, achieved without incurring additional memory or computational overheads during the inference process.…”
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Enhancing crane and gate OCR efficiency at container terminal using a hybrid genetic algorithm and neural network model: case study of tangier med port by Hamza Garmouch, Otman Abdoun

“…But OCR technology is plagued with persistent issues, such as environmental factors (poor lighting, bad weather effects, container shape…), text recognition challenges (skewed text, motion blur, segmentation failure), and hardware reliability concerns (camera malfunction, network instability, and delays in real-time processing). …”
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Maintaining research integrity in the age of GenAI: an analysis of ethical challenges and recommendations to researchers by Sonja Bjelobaba, Lorna Waddington, Mike Perkins, Tomáš Foltýnek, Sabuj Bhattacharyya, Debora Weber-Wulff

“…Methods We selected one or more GenAI platforms applicable to various research phases (e.g. developing research questions, conducting literature reviews, processing data, and academic writing) and analysed them to identify potential ethical concerns relevant for that stage. …”
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Scientific Opinion on applications (EFSA‐GMO‐RX‐GT73) for renewal of the authorisation for continued marketing of existing (1) food and food ingredients produced from oilseed rape... by EFSA Panel on Genetically Modified Organisms (GMO Panel)

“…In 2004 the EFSA GMO Panel had issued a scientific opinion on the safety of glyphosate‐tolerant oilseed rape GT73 for import and processing uses. …”
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Mind the gap: Sustainable management of the surging plastic waste in the post-COVID-19 pandemic by Minghai Zhu, Qing Huang

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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…However, challenges still need to be addressed in handling grid-like image patches with higher computational demands and addressing issues like over-smoothing in visual patches. This paper presents a Deep Learning model for single-image super-resolution. …”
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Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence by Wen Chen, Sibin Liu, Yuxiao Yang, Wenjing Hu, Jinming Yu

“…In mobile edge computing networks, achieving effective load balancing across edge server nodes is essential for minimizing task processing latency. However, the lack of a priori knowledge regarding the current load state of edge nodes for user devices presents a significant challenge in multi-user, multi-edge node scenarios. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

“…Finally, we discuss open issues, which offer useful insights and future direction for various stakeholders.…”
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Simulating urban expansion with interpretable cycle recurrent neural networks by Yue Zhu, Christian Geiß, Emily So

“…However, implementing RNNs for LULC prediction can be challenging due to the relatively short sequence length of multi-temporal LULC data, as well as a general lack of interpretability of deep learning models. To address these issues, we introduce a novel deep learning-based framework tailored for forecasting LULC changes. …”
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Self-Healing Databases for Emergency Response Logistics in Remote and Infrastructure-Poor Settings by James McGarvey, Martha R. Grabowski, Buddy Custard, Steven Gabelein

“…Despite persistent calls for improved data quality, processing, and analysis capabilities to support Arctic emergency response logistics, these issues have not been addressed and advanced analytical methods available in other safety-critical and oil and gas settings, such as machine learning, artificial intelligence (AI), or emergent, self-aware, and self-healing databases, have not been widely adopted. …”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…Despite the progress in deep learning, issues such as occlusion, distraction from the background, and motion pattern variability still exist, thus restricting the generalization ability of current models. …”
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Model of Publishing Activities of Scientific Libraries by Zlyhostiev Serhiy

“…The publishing model makes it possible to take into account all the factors that may affect this process. The issue of the publishing activity model is almost not covered in the scientific literature, which is of considerable scientific interest. …”
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GRANICE UPRAWNIEŃ KIEROWNICZYCH PRACODAWCY W STOSUNKU PRACY by Tomasz Duraj

“…Using these powers, the employer specifies the employee’s obligations for the performance of the job, in particular its type, method, the time and place in which it is to be done, as well as the order and organization of the work process. According to the literature on the subject, the employer’s main powers of management include prescriptive rights (the core of management authority), which allow him to specify the employee’s duties by issuing binding instructions to him; punitive (disciplinary) powers associated with the use of disciplinary penalties; regulatory (legislative) powers, primarily to establish the regulations and other acts determining working order (in particular work schedules, holiday timetables etc.); and distributive power (the allocation of prizes and awards). …”
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Summary of the mechanism of ferroptosis regulated by m6A modification in cancer progression by Bin Fan, Gangxian Chen, Shuyi Huang, Ying Li, Zia Ul Haq Nabil, Zuozhang Yang

“…It has become more and more well-known as a research issue in recent years since it alters RNA metabolism and is involved in numerous biological processes. …”
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Solving the container premarshalling problem with an auxiliary bay by Celia Jiménez-Piqueras, Kevin Tierney

“…When a container must be retrieved, any container placed on top of it must be moved to another stack, delaying the retrieval process. The container premarshalling problem (CPMP) aims to tackle this issue by finding a sequence of minimal container relocations to achieve a bay arrangement where no container needs to be moved during retrieval. …”
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