Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values by Ahmed A. Khalil, Zaiming Liu, Ahmed Fathalla, Ahmed Ali, Ahmad Salah

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Improving UAV Aerial Imagery Detection Method via Superresolution Synergy by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

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Multidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points by Jiaqi Liu, Chengpeng Jiang, Qianbo Yu, Yao Ni, Cunjiang Yu, Wentao Xu

“…Here, we present a flexible device tailored for neuromorphic computation and muscle actuation. Each individual device component emulates essential synaptic functions for neural computing, while the collective ensemble replicates muscle actuation in response to efferent neuromuscular commands. …”
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Study of COVID-19 cases with real data analysis by Wedad Albalawi, Kottakkaran Sooppy Nisar, Nadir Omer, Adnan Aslam, Takasar Hussain, Muhammad Ozair, Shahid Hussain, Nida Hameed

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Developing a Pattern Discovery Method in Time Series Data and Its GPU Acceleration by Huanzhou Zhu, Zhuoer Gu, Haiming Zhao, Keyang Chen, Chang-Tsun Li, Ligang He

“…However, using the DTW algorithm to find similar subsequences is computationally expensive or unable to perform accurate analysis. …”
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LCANet: a model for analysis of students real-time sentiment by integrating attention mechanism and joint loss function by Pengyun Hu, Xianpiao Tang, Liu Yang, Chuijian Kong, Daoxun Xia

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Cayley–Purser secured communication and jackknife correlative classification for COVID patient data analysis by Ramesh Sekaran, Ashok Kumar Munnangi, Manikandan Ramachandran, Mohammad Khishe

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The comparative influence of climate change and demography in spatially distributed degree-day projections for France in the 21st century by Sylvain Cros, Philippe Drobinski, Louis-Gaëtan Giraudet, Johann Meulemans

“…We projected heating degree days (HDD) and cooling degree days (CDD) up to 2100 using EURO-CORDEX simulations and considering three sources of uncertainty: three different methods for computing HDD and CDD; two emission scenarios (RCP4.5 and RCP8.5); and two population projections. …”
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Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks by Jonghyuk Park, Woo Young Choi

“…Previous solutions to the fan-out problem, including the incorporation of delay-capacitors, inverter chains, or operational amplifiers, require substantial area and consume considerable static power, thereby impeding low-power computing for event-driven operations in SNN. To address this issue, we propose the integration of spike-based voltage buffers (S-VBs) and pull-down pulse width modulation (PD-PWM) circuits. …”
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Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India by Saroj Kumar Sahu, Pallavi Sahoo, Poonam Mangaraj, Gufran Beig, Bhishma Tyagi, Basanta Samal, Ashirbad Mishra, Ravi Yadav

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Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine by Kuo Zhang, Xiangbin Meng, Xiangyu Yan, Jiaming Ji, Jingqian Liu, Hua Xu, Heng Zhang, Da Liu, Jingjia Wang, Xuliang Wang, Jun Gao, Yuan-geng-shuo Wang, Chunli Shao, Wenyao Wang, Jiarong Li, Ming-Qi Zheng, Yaodong Yang, Yi-Da Tang

“…Breakthroughs, like GPT-4 and BERT (Bidirectional Encoder Representations from Transformer), demonstrate LLMs’ evolution through improved computing power and data. However, their high hardware requirements are being addressed through technological advancements. …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…Abstract Over the past few years, the application and usage of Machine Learning (ML) techniques have increased exponentially due to continuously increasing the size of data and computing capacity. Despite the popularity of ML techniques, only a few research studies have focused on the application of ML especially supervised learning techniques in Requirement Engineering (RE) activities to solve the problems that occur in RE activities. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

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A Novel Case Base Reasoning and Frequent Pattern Based Decision Support System for Mitigating Software Risk Factors by Muhammad Asif, Jamil Ahmed

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Power generation expansion planning with high penetration of geothermal energy – Potential, prospects and policy by Muhammad Amir Raza, Mahmoud Ahmad Al-Khasawneh, Yahya Z. Alharthi, Muhammad Faheem, Raza Haider, Laveet Kumar

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Nanodeserts: A Conjecture in Nanotechnology to Enhance Quasi-Photosynthetic CO2 Absorption by Wenfeng Wang, Xi Chen, Yifan Zhang, Jianjun Yu, Tianyi Ma, Zhihan Lv, Jing Zhang, Fanyu Zeng, Hui Zou

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Internet of things enabled parking management system using long range wide area network for smart city by Waheb A. Jabbar, Lu Yi Tiew, Nadiah Y. Ali Shah

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A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

“…Quantum information networks (QINs) enhance computing, sensing, and security capabilities over extended distances. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The experiment is performed and implemented in Microsoft’s Azure cloud, using Azure Machine Learning service, that leverages the advantages of cloud computing with respect to scalability, security and its potential integration possibilities into IoT-based smart healthcare systems.This aspect highlights its versatility and impact with respect to remote monitoring of patients as well. …”
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Psychometric assessment of scales used to evaluate sexual assault prevention programming in the United States Air Force. by Kathryn E L Grimes, Nichole M Scaglione, Marni L Kan, Leah Frerichs, Christopher M Shea, Angela M Stover

“…We refined each scale based on factor analysis results and assessed internal consistency reliability by computing Cronbach's coefficient alpha for each scale in the overall sample, by sex, and by tailored SCC intervention group.…”
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