A software reliability model for open source big data system considering fault introduction and fault removal efficiency by Jinyong Wang, Haijun Geng, Pengda Li

“…In this paper, we focus on the characteristics of open source big data system software development and testing, such as the complexity of fault detection, the possibility of introducing new faults and fault removal efficiency factors during fault debugging, to establish a new software reliability model. …”
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Analysis results of experimental operation of the protection complex of long perimeters VM 8018 by L. L. Utin, A. V. Pavlovsky, A. A. Olkhovik, A. V. Makatserchyk

“…In recent years, technical means of perimeter security are becoming more widespread, which is due to their increasing efficiency of protection from unauthorized access by intruders to protected facilities. …”
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An Efficient Algorithm for Extracting Railway Tracks Based on Spatial-Channel Graph Convolutional Network and Deep Neural Residual Network by Yanbin Weng, Meng Xu, Xiahu Chen, Cheng Peng, Hui Xiang, Peixin Xie, Hua Yin

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Quantification and Flow Simulation of Ecosystem Service Supply and Demand in the Yellow River Delta High-Efficiency Eco-Economic Zone by Wenjun Liu, Xiangyi Ma, Qian Sun, Wei Qi, Xinyang Yu

“…This study selected the Yellow River Delta High-Efficiency Eco-Economic Zone in China as the case study area and assessed the habitat quality and carbon sequestration services for 2000, 2010, and 2020. …”
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The application of natural language processing technology in hospital network information management systems: Potential for improving diagnostic accuracy and efficiency by Shiyong Wang, Hong Luo

“…Objective: The goal is to investigate the possibilities of improving diagnostic efficiency and accuracy in healthcare settings by using NLP technologies into HNIMS. …”
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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…Abstract Mobile Edge Computing (MEC) systems face critical challenges in optimizing computation offloading decisions while maintaining quality of experience (QoE) and energy efficiency, particularly in dynamic multi-user environments. …”
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Catalytic purification of nitrogen oxides for complex industrial flue gas by WANG Penglu, ZHANG Yuxin, YE Zhenli, ZHANG Dengsong*

“…This review provides guidance and strategies for the development of efficient, stable and anti-poisoning nitrogen oxide purification catalysts. …”
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Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Nasrin Salehi, Mahyar Moradi, José J. M. Machado, João Manuel R. S. Tavares

“…This study focuses on enhancing the speed and efficiency of the maximum power point tracking (MPPT) system in a solar power plant. …”
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U-ActionNet: Dual-Pathway Fourier Networks With Region-of-Interest Module for Efficient Action Recognition in UAV Surveillance by Abdul Monaf Chowdhury, Ahsan Imran, Md Mehedi Hasan, Riad Ahmed, Akm Azad, Salem A. Alyami

“…Leveraging a dual-path approach, we propose a novel framework U-ActionNet that integrates FFT-based substance separation and space-time self-attention techniques to improve the accuracy and efficiency of HAR tasks. Catering the server side the first pathway employs a modified C3D model with Fast Fourier Transform (FFT)-based object movement and attention detection mechanisms to effectively extract human actors from complex scenes and capture spatiotemporal dynamics in UAV footage. …”
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Ensemble Deep Learning Models for Enhanced Brain Tumor Classification by Leveraging ResNet50 and EfficientNet-B7 on High-Resolution MRI Images by Retinderdeep Singh, Sheifali Gupta, Salil Bharany, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman

“…Brain tumors are among the most significant and challenging medical conditions because of their sometimes-fatal outcomes and complexity of treatment options. Early, exact detection of brain tumors is essential for both the most effective treatment programs and much higher patient survival rates. …”
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Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Aminu Aminu Muazu, Ahmad Sobri Hashim

“…Optimization has developed powerful algorithms for solving complex problems efficiently. The effectiveness of these algorithms, also called metaheuristics, largely depends on the capabilities of their search techniques. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Ultra-Massive Multiple Input Multiple Output (UM-MIMO) systems are pivotal for 6G wireless networks, enabling unprecedented data rates and spectral efficiency. However, optimizing these systems requires a careful balance between energy efficiency, spectral efficiency, and Bit Error Rate (BER) performance. …”
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Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB by Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich

“… Inverters are essential for converting direct current to alternating current in electric vehicles, relying on pulse width modulation (PWM) for efficiency. This study presents a real-time Selective Harmonic Elimination PWM (SHE-PWM) algorithm using artificial neural networks, validated with the OP5600 RT LAB simulator. …”
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HERCULE: High-Efficiency Resource Coordination Using Kubernetes and Machine Learning in Edge Computing for Improved QoS and QoE by Garrik Brel Jagho Mdemaya, Miguel Landry Foko Sindjoung, Milliam Maxime Zekeng Ndadji, Mthulisi Velempini

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Increasing efficiency and sustainability: A comparative analysis of concrete 3D printing and traditional methods based on case studies by Karamara Merve, Bogdanski Moritz-Ole, Zöller Raphael, Albrecht Sophie Viktoria, Linner Thomas, Bock Thomas, Braml Thomas

“…Concrete 3D printing offers several significant advantages, including the ability to create complex geometries, increased material efficiency, faster build times and cost savings. …”
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Improved method of targeted user interface updates for enhancing the efficiency of web applications based on reactive streams and virtual DOM by M.V. Havatiuk, I.O. Saiapina

“…By integrating the strengths of the aforementioned technologies, the method significantly enhances performance, reduces browser load, and improves interface responsiveness even in complex application logic scenarios. Special attention is given to the architectural structure of the solution, the mechanisms for detecting changes, and the evaluation of dependencies between state and UI components. …”
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Low‐power fast Fourier transform hardware architecture combining a split‐radix butterfly and efficient adder compressors by Guilherme Ferreira, Guilherme Paim, Leandro M. G. Rocha, Gustavo M. Santana, Renato H. Neuenfeld, Eduardo A. C. Costa, Sergio Bampi

“…Results reveal that the proposed FFT hardware architecture using the split‐radix butterfly is 13.28% more power efficient than the radix‐4 one. The results further show that, by combining 5‐2 AC within the split‐radix butterfly, our proposal saves up to 43.1% of the total power dissipation considering the whole FFT hardware architecture, compared with the state‐of‐the‐art radix‐4 butterfly employing the adder automatically selected by the logic synthesis tool.…”
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RAD50 is required for efficient initiation of resection and recombinational repair at random, gamma-induced double-strand break ends. by Jim Westmoreland, Wenjian Ma, Yan Yan, Kelly Van Hulle, Anna Malkova, Michael A Resnick

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An efficient deep learning prognostic model for remaining useful life estimation of high speed CNC milling machine cutters by Hamdy K. Elminir, Mohamed A. El-Brawany, Dina Adel Ibrahim, Hatem M. Elattar, E.A. Ramadan

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Optimizing linear/non-linear Volterra-type integro-differential equations with Runge–Kutta 2 and 4 for time efficiency by Martin Ndi Azese

“…A novel non-adaptative time-efficient (TE) numerical scheme based on the Runge–Kutta (RK) algorithm is devised for solving linear and non-linear Volterra-type integro-differential equations (VTIDE) characterized by a specific class of convolution memory, K(t,s)=aκ(t−s), where a,κ∈R. …”
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