Design and Implementation of a CMOS-MEMS Out-of-Plane Detection Gyroscope by Huimin Tian, Zihan Zhang, Li Liu, Wenqiang Wei, Huiliang Cao

“…This design establishes a foundation for the integration of the gyroscope’s structure and circuitry.…”
Get full text

A Trusted and Energy Efficient Approach for Cluster-Based Wireless Sensor Networks by Tianshu Wang, Gongxuan Zhang, Xichen Yang, Ahmadreza Vajdi

“…The analysis shows that our approach does well in resisting the attacks such as data confidentiality attack, data integrity attack, and compromise node attack. In addition, experimental results show that the TEEC algorithm makes more balanced clusters with the variance value of loads around 50% and prolongs the life cycle of the network at least 10% compared to traditional methods.…”
Get full text

A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network by Abolfazl Ghassemi, Pejman Goudarzi, Mohammad R. Mirsarraf, T. Aaron Gulliver

“…In particular, we develop an algorithm to minimize the operational cost using real-time electricity pricing with the integration of green energy resources from the smart grid. …”
Get full text

Optimal Design of Low Sidelobe Sparse Linear Arrays by Li Wang, Fenggan Zhang, Banghuan Hou

“…The initial value of the algorithm is generated through the chaotic Piecewise map, while the scaling factor is adjusted dynamically in line with the iterations and fitness values. …”
Get full text

A data‐driven transient stability‐based approach for out‐of‐step prediction in power systems by Sirwan Shazdeh, Hêmin Golpîra, Hassan Bevrani

“…Furthermore, a complementary strategy is proposed to predict the OOS condition in integrated inverter‐based power systems. The effectiveness of the proposed algorithm is validated through simulations conducted on the 73‐bus IEEE test power system.…”
Get full text

Fault Detection and Protection Strategy for Multi-Terminal HVDC Grids Using Wavelet Analysis by Jashandeep Kaur, Manilka Jayasooriya, Muhammad Naveed Iqbal, Kamran Daniel, Noman Shabbir, Kristjan Peterson

“…The growing demand for electricity, integration of renewable energy sources, and recent advances in power electronics have driven the development of HVDC systems. …”
Get full text

GNSS Precipitable Water Vapor Prediction for Hong Kong Based on ICEEMDAN-SE-LSTM-ARIMA Hybrid Model by Jie Zhao, Xu Lin, Zhengdao Yuan, Nage Du, Xiaolong Cai, Cong Yang, Jun Zhao, Yashi Xu, Lunwei Zhao

“…In the study of GNSS-PWV prediction, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm within a decomposition–integration framework effectively addresses the non-stationarity and complexity of PWV sequences, enhancing prediction accuracy. …”
Get full text

Adaptive Coati Optimization Enabled Deep CNN-based Image Captioning by Balasubramaniam S, Seifedine Kadry, Rajesh Kumar Dhanaraj, Satheesh Kumar K

“…The Deep CNN is trained by using the proposed Adaptive Coati Optimization Algorithm (ACOA). The proposed ACOA is attained by the integration of the Adaptive concept and Coati Optimization Algorithm (COA) and thus the image is captioned. …”
Get full text

The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…Comparing the overall processing effects of different algorithms at the low volume intersection, the worst test result was the recall rate of 96.54% and the MOTA value of 0.938, while the best was the recall rate of 97.69% and the MOTA value of 0.946. …”
Get full text

Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region by Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Joong-Sun Won, Yu-Chul Park, Chang-Wook Lee

“…It focuses on processing these data using the Improved Combined Scatterer Interferometry with Optimized Point Scatterers (ICOPS) method, integrated with the MintPy algorithm, to address instances of nonlinear deformation. …”
Get full text

Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…Through the comprehensive detection process of data importance, network busyness, duration of transmission process, and failure situation, the efficiency has been increased by 20%, and an adaptive data integrity detection method based on random algorithm and encryption algorithm is designed. …”
Get full text

Feature selection‐based android malware adversarial sample generation and detection method by Xiangjun Li, Ke Kong, Su Xu, Pengtao Qin, Daojing He

“…Prediction results obtained by the two classification algorithms are integrated based on certain rules. Experimental results on the VirusShare dataset show that both algorithms are effective. …”
Get full text

Cluster channel equalization using adaptive sensing and reinforcement learning for UAV communication by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

“…This enhancement not only improves the accuracy of Q-value approximation but also increases the algorithm’s adaptability and decision-making ability in complex channel environments. …”
Get full text

GA-Based Early Warning Method for Rock Burst with Microseismic and Acoustic Emission in Steeply Inclined Coal Seam by Yarong Xue, Dazhao Song, Zhenlei Li, Jianqiang Chen, Xueqiu He, Shengquan He, Donghui Li

“…Aiming at problem of low efficacy of early warning of rock burst in coal mine, a multisystem and multiparameter integrated early warning method based on genetic algorithm (GA) is proposed. …”
Get full text

State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models by Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa

“…This study proposes a novel approach for SoC estimation in BMW EVs by integrating a metaheuristic algorithm with deep neural networks. …”
Get full text

Automatic Bone Fracture Reduction Technique with Section Registration by Qinhui YUAN, Mengxing LIU, Chu GUO, Yukun AN, Ping ZHOU

“…In order to enhance treatment efficiency and accuracy, an automatic fracture reduction algorithm is proposed. This algorithm utilizes the similarity of fracture cross-sections for registration, thereby reducing the workload of physicians and eliminating the need for a healthy-side bone template. …”
Get full text

Reversible data hiding in encrypted domain based on fine-grained access control by ZHANG Minqing, PENG Shen, JIANG Chao, DI Fuqiang, DONG Yufeng

“…To improve the embedding rate and security of reversible data hiding algorithms in encrypted images for cloud environments, ciphertext-policy attribute-based encryption and reversible data hiding in encrypted images were organically integrated, and a reversible data hiding algorithm in encrypted images based on fine-grained access control was proposed. …”
Get full text

Multi-Sensor Information Fusion Positioning of AUKF Maglev Trains Based on Self-Corrected Weighting by Qian Hu, Hong Tang, Kuangang Fan, Wenlong Cai

“…It combines the Sage–Husa algorithm with the unscented Kalman filter (UKF) to form the AUKF algorithm using the data collected by the cross-sensor lines, INS, Doppler radar, and GNSS, which adaptively updates the statistical feature estimation of the measurement noise and eliminates the single-function and low-integration shortcomings of the various modules to achieve the precise positioning of maglev trains. …”
Get full text

Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning by Edwin Lewıs, Atilla Erdinç, Yavuz Selim Şahin, Alperen Kaan Bütüner, Hilal Erdoğan

“…The DTs algorithm was meticulously trained using pixel values from the leaf images, leading to the classification of pixels within regions with and without galleries on the leaves. …”
Get full text

Optimizing Pre-Trained Models for Medical Dataset Classification with a Fine-Tuning Approach by N. Kumar, T. Christopher

“…Upcoming work for this study involves speeding up algorithm processing abilities and scalability alongside the integration of robust deep learning structures with self-supervised learning methodologies together with upgrade transfer learning approaches for medical dataset variety applications. …”
Get full text