Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM by Xiaomei Yang, Jinfei Wang, Xingrui Huang, Yang Wang, Xianyong Xiao

“…The SRNN achieves computational and energy efficiency, while the integration with LSTM is conducive to effectively capturing temporal dependencies in time-series oscillation data. …”
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A brain tumor segmentation method based on attention mechanism by Juan Cao, Jinjia Liu, Jiaran Chen

“…To address these challenges, we introduce BSAU-Net, a novel segmentation algorithm that employs attention mechanisms and edge feature extraction modules to enhance performance. …”
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WT-HMFF: Wavelet Transform Convolution and Hierarchical Multi-Scale Feature Fusion Network for Detecting Infrared Small Targets by Siyu Li, Jingsi Huang, Qingwu Duan, Zheng Li

“…To tackle this problem, we introduce WT-HMFF, an innovative network architecture that combines the Wavelet Transform Convolution (WTConv) module with the Hierarchical Multi-Scale Feature Fusion (HMFF) module to enhance the ISTD algorithm’s performance. WTConv expands the receptive field through wavelet convolution, effectively capturing global contextual information while preserving target shape characteristics. …”
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Second-order sliding mode optimization control of an inverted pendulum system based on fuzzy adaptive technology by Xuefeng Leng

“…This research method lays a foundation for the design of fuzzy adaptive sliding mode control algorithm.…”
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An Innovative Approach to Solve Fuzzy Linear Fractional Programming Problems by Karthick Sivakumar, Saraswathi Appasamy, Dragan Pamucar

“…We presented a numerical example with a real-life application for the simplicity of presenting the algorithm. While most researchers solve FLFPPs using the ranking function method, this method reduces the efficiency of the fuzzy problem. …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…We also introduce a sector segmentation based sampling strategy and achieves parallel sampling of key points through our designed Adjacency Distance Update Farthest Point Sampling (ADUFPS) algorithm, significantly reducing computational overhead while improve sampling efficiency. …”
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Machine Learning and Deep Learning-Based Atmospheric Duct Interference Detection and Mitigation in TD-LTE Networks by Rasendram Muralitharan, Upul Jayasinghe, Roshan G. Ragel, Gyu Myoung Lee

“…Our results show that the Random Forest algorithm achieves the highest prediction accuracy, while a convolutional neural network demonstrates the best mitigation performance with accuracy. …”
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A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks by Satyaprajna Sahoo, Anamitra Pal

“…The results obtained using the IEEE 118-bus system indicate that the proposed approach alleviates system vulnerabilities to wildfires while also minimizing operational cost.…”
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Efficacy of histological and cytological examination under different methods of sampling biopsies at endoscopy in patients with respiratory pathology by I. V. Liskina, O. I. Shpak, L. M. Zagaba, V. B. Bychkovskiy, M. F. Yatsina

“…The article presents the value of different methods of sampling biopsy during endoscopy with cytological and morphological examination of biopsy material in the diagnostic algorithm of various pathological processes of the respiratory system. …”
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ARSOD-YOLO: Enhancing Small Target Detection for Remote Sensing Images by Yijuan Qiu, Xiangyue Zheng, Xuying Hao, Gang Zhang, Tao Lei, Ping Jiang

“…Our algorithm achieved an mAP50 of 74.3% on the VEDAI dataset, surpassing the YOLOv8 baseline by 3.1%. …”
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A comparative study between Near-Infrared (NIR) spectrometer and High-Performance Liquid Chromatography (HPLC) on the sensitivity and specificity. by Elisa M Maffioli, Chimezie Anyakora

“…For analgesics, the sensitivity was 37%, and the specificity was 47%. While these devices hold great potential, regulators should require more independent evaluations of various drug formulations before implementing them in real-world settings. …”
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Fault diagnosis model of rolling bearings based on the M-YOLO network by NING Shaohui, ZHANG Shaopeng, WU Yukun, DU Yue, FAN Xiaoning

“…ObjectiveThe algorithms developed for the combination of deep learning and bearing fault diagnosis have achieved initial results, but most of them are processed by processing one-dimensional vibration data and input into the network structure for diagnosis, while the research on fault diagnosis technology using two-dimensional signals as input is still on the surface, and the analysis of such methods is rarely reported. …”
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Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

“…This study aims at evaluating various data transfer schemes of a loose CFD/CSD coupling algorithm to validate the higher harmonic control aeroacoustic rotor test (HART) data in descending flight. …”
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An Efficient Anomalous Sound Detection System for Microcontrollers by Yi-Cheng Lo, Tsung-Lin Tsai, Chieh-Wen Yang, An-Yeu Wu

“…Therefore, we propose a memory-aware pruning algorithm specialized for ASD to fit into MCUs’ constraints. …”
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Prescribed-Time Formation Tracking Control for Underactuated USVs with Prescribed Performance by Bowen Sui, Jianqiang Zhang, Zhong Liu

“…Additionally, a unique performance function was developed, enabling the performance function to converge to a predetermined accuracy within a specified time, while allowing for flexible adjustment of the performance constraint shape by parameter modification. …”
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Abstraction-based segmental simulation of reaction networks using adaptive memoization by Martin Helfrich, Roman Andriushchenko, Milan Češka, Jan Křetínský, Štefan Martiček, David Šafránek

“…Our algorithm adapts online to identify the most important abstract states and thus utilizes the available memory efficiently. …”
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Querying 3D point clouds exploiting open-vocabulary semantic segmentation of images by A. Alami, A. Alami, F. Remondino

“…While deep models have advanced the 3D data analysis and demonstrated impressive results, they often struggle to generalize to new classes that are absent from the training dataset. …”
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Curved Holographic Augmented Reality Near-Eye Display System Based on Freeform Holographic Optical Element with Extended Field of View by Hong Xu, Yuan Xu, Changyu Wang, Juan Liu

“…At present, most near-eye display devices adopt flat substrates, which have problems such as limited field of view (FOV) and bulky shape, while the curved structure is expected to expand the FOV with appropriate volume. …”
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Dynamic Control and Analysis of Dual Active Bridge Converters in Grid-Connected PV-BESS by Mehmet Can Sekanli, Samet Yalçin, Okan Bingol

“…The Perturb & Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm optimized power extraction from the PV array, while the DAB converter employed Single Phase Shift (SPS) control for efficient, bidirectional energy management. …”
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Correlation analysis of m6A-modified regulators with immune microenvironment infiltrating cells in lung adenocarcinoma. by Wei Ye, Tianpeng Huang

“…The m6A score was constructed using the principal component analysis algorithm to quantify the m6A modification mode of a single tumor.…”
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