Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“… The subject matter of this article revolves around the exploration of neural network architectures to enhance the accuracy of text classification, particularly within the realm of natural language processing. The significance of text classification has grown notably in recent years due to its pivotal role in various applications like sentiment analysis, content filtering, and information categorization. …”
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Advances in Electroencephalography for Post-Traumatic Stress Disorder Identification: A Scoping Review by Jose A. Salazar-Castro, Diego H. Peluffo-Ordonez, Diego M. Lopez

“…<italic>Objectives:</italic> This scoping review analyzes computational methods using EEG signal processing for PTSD diagnosis, differentiation, and therapy. …”
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Exploring the potential of signalling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd by Ritu Kumari, Gurmeen Rakhra, Abdulaziz Abdullah Alsahli, Javaid Akhter Bhat, Parvaiz Ahmad

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FCDNet: A Lightweight Network for Real-Time Wildfire Core Detection in Drone Thermal Imaging by Linfeng Wang, Oualid Doukhi, Deok Jin Lee

“…It includes an Efficient Processing (EP) module based on the novel Partial Depthwise Convolution (PDWConv) and the lightweight feature-sharing decoupled detection head (Fast Head), achieving low-size and low-computation wildfire detection. …”
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ResilioMate: A Resilient Multi-Agent Task Executing Framework for Enhancing Small Language Models by Yubing Xiong, Mingrui Huang, Xuechen Liang, Meiling Tao

“…Recent advances in large language models (LLMs) have been limited by their processing requirements and vulnerability to adversarial assaults, whilst short language models (SLMs) struggle with performance consistency in complex tasks. …”
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BDLS as a Blockchain Finality Gadget: Improving Byzantine Fault Tolerance in Hyperledger Fabric by Ahmed Al Salih, Yongge Wang

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Impact of zeolite-sewage sludge blends and reduced nitrogen on soil carbon, nutrient dynamics, and rice growth response by Jencymol Thomas, Arun Kumar K, Balkrishna S Bhople, Sanjat Kumar Sahu, Jayanthi J

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Enhanced multi-objective Evolutionary Mating Algorithm with improved crowding distance and Levy flight for optimizing comfort index and energy consumption in smart buildings by Muhammad Naim Bin Nordin, Mohd Herwan Sulaiman, Nor Farizan Zakaria, Zuriani Mustaffa

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A novel end-to-end privacy preserving deep Aquila feed forward networks on healthcare 4.0 environment by Ponugoti Kalpana, Sunitha Tappari, L. Smitha, Dasari Madhavi, K. Naresh, Maddala Vijayalakshmi

“…These Internet-enabled devices compile human data and deliver it to remote clinical centers for efficient diagnosis and treatment processes. Though sensor-driven devices have largely eased everyday lives, these healthcare systems have been suffering from various security breaches and data privacy problems. …”
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A systematic study on complementary metal-oxide semiconductor technology (CMOS) and Internet of Things (IOT) for radioactive leakage detection in nuclear plant by Swayam Patel, Sakshi Sutaria, Rajveer Daga, Manan Shah, Mitul Prajapati

“…The Internet of Things (IoT) extends the power of the Internet beyond computing devices to a multitude of other things, processes, and environments. …”
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Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation by Jian Tang, Zikun Huang, Hongzhen Xu, Hao Zhang, Hailing Huang, Minqiong Tang, Pengsheng Luo, Dong Qin

“… Abstract BackgroundClinical named entity recognition (CNER) is a fundamental task in natural language processing used to extract named entities from electronic medical record texts. …”
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Advanced Trajectory Analysis of NASA’s Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter’s Orbital Dynamics by Ashraf ALDabbas, Zaid Mustafa, Zoltan Gal

“…These findings highlight OPTICS as a more effective method for identifying outliers in elliptical orbit data, albeit with higher computational resource requirements and longer processing times. …”
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Industrial Image Anomaly Detection via Synthetic-Anomaly Contrastive Distillation by Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao

“…At the inference stage, pixel-wise anomaly scores are computed through multi-layer feature discrepancies between the teacher’s representations and the student’s refined outputs. …”
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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

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Contextual Deep Semantic Feature Driven Multi-Types Network Intrusion Detection System for IoT-Edge Networks by Shaho Hassen, Ahmed Abdlrazaq

“… Recent years have witnessed an exponential rise in wireless networks and allied interoperable distributed computing frameworks, where the different sensory units transfer real-world event data to the network analyzer for run-time decisions. …”
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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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Multi-Scale Venation Pattern Analysis for Medicinal Plant Species Recognition by Arnav Sanjay Karnik, Nikhil Nair, Yashas Sagili, P. B. Pb

“…Moreover, our approach is well-suited for deployment in real-time mobile and edge computing environments.…”
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Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features by Fan Liu, Fang Wang, Zaiqi Zhang, Liang Cao, Jinran Wu, You-Gan Wang

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DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation by Ye Liu, Shitao Song, Miaohui Wang, Hao Gao, Jun Liu

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Sweet pepper foliar diseases quantification and identification using an image analysis tool by Vijayanandh Rajamanickam, Adesh Ramsubhag, Jayaraj Jayaraman

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