Unveiling the hybrid filaments-induced forming-free resistive switching dynamics in Cu-doped oxygenated amorphous carbon-based memristors by Dae-Seong Woo, Soo-Min Jin, Jae-Kyeong Kim, Uijin Jung, Gwang-Ho Park, Woo-Guk Lee, Min-Jong Han, Tae-Hun Shim, Jinsub Park, Jea-Gun Park

“…However, the forming process at high voltages and the low durability for α-C:Ox-based resistive memories impose limitations on their use in memory-centric computing systems. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…Abstract Background Drug development is a time-consuming and costly endeavor, and utilizing computer-aided methods to predict drug-target affinity (DTA) can significantly accelerate this process. …”
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Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Wan Jaafar, Adarsh S, Mohsen Sherif, Ali Najah Ahmed

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Deposition of HfO₂ by Remote Plasma ALD for High-Aspect-Ratio Trench Capacitors in DRAM by Jiwon Kim, Inkook Hwang, Byungwook Kim, Wookyung Lee, Juha Song, Yeonwoong Jung, Changbun Yoon

“…Given its superior lateral uniformity, lower leakage, and defect suppression, RP-ALD shows strong potential for improving DRAM capacitor performance and serves as a promising alternative to the currently adopted thermal ALD process.…”
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Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation by Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai

“…Finally, we demonstrate the effectiveness of a pool-based AL protocol in expediting the discovery process by executing multiple computational and experimental campaigns in each iteration. …”
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Optimizing Resource Allocation and Task Offloading in Multi-UAV MEC Networks by Manzoor Ahmed, Noor Fatima, Salman Raza, Hamid Ali, Abdul Qayum, Wali Ullah Khan, Muhammad Sheraz, Teong Chee Chuah

“…Uncrewed aerial vehicle (UAV)-assisted multi-access edge computing (MEC) is increasingly being adopted to meet the rising demand for low-latency and efficient data processing, particularly in environments with limited ground infrastructure. …”
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ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

“…Additionally, for substation image processing mainly based on edge devices, smaller models must be used to reduce the expenditure of computing power. …”
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VR & AR TECHNOLOGIES: OPPORTUNITIES AND APPLICATION OBSTACLES by A. V. Ivanova

“…VR and AR also have the potential to become the next big computing platform. Today VR and AR technologies help not only to create conceptually new markets, but also to disrupt existing ones.This article discusses the evolution of the VR and AR concepts and technologies and current market trends. …”
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Experimental Study on Heat Transfer Performance of FKS-TPMS Heat Sink Designs and Time Series Prediction by Mahsa Hajialibabaei, Mohamad Ziad Saghir

“…As the demand for advanced cooling solutions increases with the rise in artificial intelligence and high-performance computing, efficient thermal management becomes critical, particularly for data centers and electronic systems. …”
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Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things by Vishwesh Nagamalla, B. Muthu Kumar, Neha Janu, Anusha Preetham, Syam Machinathu Parambil Gangadharan, Mejdal A. Alqahtani, Rajnish Ratna

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Brand Association and Competitive advantange in alcoholic beer products in Kabale District, Uganda. by Moses, Agaba

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of the brand Association and competitive advantage variables was conducted. …”
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Brand Loyalty and Competitive advantage a case of beer products in Kabale District, Uganda. by Moses, Agaba, Edward, Ahabwe

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of the brand Loyalty and competitive advantage variables was conducted. …”
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Perceived Quality and Competitive Advantage in Beer Products In Kabale District, South Western Uganda by Moses, Agaba, Alex, Kanyesiime

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of percieved quality and competitive advantage variables was conducted. …”
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Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review by Mattias Seth, Hoor Jalo, Åsa Högstedt, Otto Medin, Bengt Arne Sjöqvist, Stefan Candefjord

“…Message queuing telemetry transport (MQTT; 7/30, 23%) and WebSocket (7/30, 23%) were commonly used for real-time emergency alerts, while fog and edge computing were often combined with cloud computing for enhanced processing power and reduced latencies. …”
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Methods for Quantifying Source‐Specific Air Pollution Exposure to Serve Epidemiology, Risk Assessment, and Environmental Justice by Xiaorong Shan, Joan A. Casey, Jenni A. Shearston, Lucas R. F. Henneman

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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…The work aims at creating a mathematical model based on machine learning algorithms to automate the process of detecting covid abnormalities in the heart rhythm. …”
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Evaluating cutinase from Fusarium oxysporum as a biocatalyst for the degradation of nine synthetic polymer by Maycon Vinicius Damasceno de Oliveira, Gabriel Calandrini, Clauber Henrique Souza da Costa, Carlos Gabriel da Silva de Souza, Cláudio Nahum Alves, José Rogério A. Silva, Anderson H. Lima, Jerônimo Lameira

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YUNet_LLMClaimReport: An Enhanced Automobile Insurance Fraud Detection and Automated Claim Report Generation Using Large Language Models by P. Anand Kumar, S. Sountharrajan

“…The framework runs at 8.3 FPS on NVIDIA Jetson Nano and saves processing time by 60 percent. Weaknesses are single-run measures because of computational limitations and factual inconsistencies in reports (10%). …”
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Advancing Applications of Robot Audition Systems: Efficient HARK Deployment with GPU and FPGA Implementations by Zirui Lin, Hideharu Amano, Masayuki Takigahira, Naoya Terakado, Katsutoshi Itoyama, Haris Gulzar, Kazuhiro Nakadai

“…Although robot audition systems are versatile and suitable for various scenarios, efficiently deploying them can be challenging due to their high computational demands and extensive processing times. …”
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The road to commercial success for neuromorphic technologies by Dylan Richard Muir, Sadique Sheik

“…Solving two key problems—how to program general Neuromorphic applications; and how to deploy them at scale—clears the way to commercial success of Neuromorphic processors. Ultra-low-power Neuromorphic technology will find a home in battery-powered systems, local compute for internet-of-things devices, and consumer wearables. …”
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