Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Fusion of low- and high-level features facilitates final class distinction, with soft thresholding mitigating misclassification issues. …”
Get full text

A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

“…Through ablation studies, comparative experiments, and result analysis, the algorithm's effectiveness and superiority were validated. …”
Get full text

Review of Self-Powered Wireless Sensors by Triboelectric Breakdown Discharge by Shuzhe Liu, Jixin Yi, Guyu Jiang, Jiaxun Hou, Yin Yang, Guangli Li, Xuhui Sun, Zhen Wen

Get full text

Precise power flow control of transmission corridors using an integrated HELM-SAC method by Huimin Gao, Yi Lu, Ruisheng Diao, Jing Zhang, Tu Lan, Anqi Wang, Ke Sun

“…This paper proposes a new HELM-SAC method, which combines the Soft Actor-Critic (SAC) deep reinforcement learning algorithm and the Holomorphic Embedding Load Flow method (HELM) for transmission power flow control. …”
Get full text

Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks by Xiaoyi Zhou, Liang Huang, Tong Ye, Weiqiang Sun

“…We thus adopt the idea of decomposition and propose a 2-Tiered Multi-agent Soft Actor-Critic (2T-MSAC) algorithm, decomposing a single neural network into multiple small-scale networks. …”
Get full text

The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

“…The results indicate the following: (1) 172 landslide hazards were identified, primarily concentrated along the banks of the Lancang River. (2) A geodetector analysis shows that the key disaster-inducing factors for landslides include a digital elevation model (DEM) (1321–1857 m), rainfall (1181–1290 mm/a), the distance from roads (0–1285 m), and geological rock formation (soft rock formation). (3) Based on the application of the K-means clustering algorithm and the Bayesian optimization algorithm, the GD-CatBoost model shows excellent performance. …”
Get full text

Hyperluminous Supersoft X-Ray Sources in the Chandra Catalog by Andrea Sacchi, Kevin Paggeot, Steven Dillmann, Juan Rafael Martínez-Galarza, Peter Kosec

“…Hyperluminous supersoft X-ray sources (HSSs), such as bright extragalactic sources characterized by particularly soft X-ray spectra, offer a unique opportunity to study accretion onto supermassive black holes in extreme conditions. …”
Get full text

Physical-Abstract Bidirectional-Guided Learning for High-Resolution Radar Target Recognition by Yuying Zhu, Yinan Zhao, Zhaoting Liu, Meilin He

“…First, an adaptive method for determining the number of scattering centers and neural network architecture is presented. Second, a soft-threshold based target region extraction algorithm is developed, significantly reducing the parameter search space. …”
Get full text

Coordinated Optimal Dispatch of Distribution Grids and P2P Energy Trading Markets by Jing Deng, Fawu He, Qingbin Zeng, Jie Yan, Rangxiong Liu, Dongsheng He, Song Zhou

“…To address the nonlinear, high‐dimensional optimization challenges, an improved Convex‐Soft Actor‐Critic (C‐SAC) algorithm is developed, combining deep reinforcement learning with convex optimization to achieve privacy‐preserving distributed coordination. …”
Get full text

ALCS-PP: Adaptive Latency Control Scheme for Packet Pacing in Self-Clocked Congestion Control by Haider Dhia Zubaydi, Ahmed Samir Jagmagji, Sandor Molnar

“…These improvements are achieved through adaptive tuning using dynamic soft clamping and gradual corrections, minimizing performance oscillations. …”
Get full text

Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…To address this issue, an undersampling algorithm was applied to balance the class distribution by removing a portion of the majority class data. …”
Get full text

Quantum computation via Floquet tailored Rydberg interactions by Jun Wu, Jin-Lei Wu, Fu-Qiang Guo, Bing-Bing Liu, Shi-Lei Su, Xue-Ke Song, Liu Ye, Dong Wang

“…Furthermore, this approach is integrated with soft quantum control strategies to enhance the fidelity and robustness of the resultant controlled-phase gates. …”
Get full text

Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

“…The proposed DNN classifier implemented with feature selection algorithm, and obtained on accuracy reached to 99.27%.…”
Get full text

Forecasting Daily and Monthly Reference Evapotranspiration in the Aidoghmoush Basin Using Multilayer Perceptron Coupled with Water Wave Optimization by Fatemeh Sayyahi, Saeed Farzin, Hojat Karami

“…The aim of this study is to evaluate the ability of soft computing models including multilayer perceptron- (MLP-) water wave optimization (MLP-WWO), MLP-particle swarm optimization (MLP-PSO), and MLP-genetic algorithm (MLP-GA), to simulate the daily and monthly reference evapotranspiration (ET) at the Aidoghmoush basin (Iran). …”
Get full text

Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“… Nudibranchs, often called sea slugs, are a group of soft-bodied marine gastropod mollusks that shed their shells after their larval stage. …”
Get full text

Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints by Xiaojian Yuan, Qishan Zhang, Jiaoyan Zeng

“…The paper first defines the uncertainty of the delivery vehicle’s arrival time to the customer as grey uncertainty and then whitens the grey time windows; at the same time, the customer’s hard time windows is expanded into a soft time windows to measure customer satisfaction when the vehicle arrives. …”
Get full text

Numerical Modeling of Roof Force in Concrete Liquid Storage Tanks. by pouya soltani, Hassan mirzabozorg

“…The interaction of the stored fluid with the roof of the tank was assessed using the penalty technique and the soft constraint algorithm. The analysis results showed that the combination of two parameters, the tank length and seismic stimulation, had the most significant impact. …”
Get full text

Threat analysis model to control IoT network routing attacks through deep learning approach by K. Janani, S. Ramamoorthy

“…A deep learning hybrid model based on a Long-Short-Term Memory (LSTM) network and adaptive Mayfly Optimization Algorithm (LAMOA) was presented for the classification of IoT attacks. …”
Get full text

A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…In order to solve the problem of an overlapping bounding box, a soft strategy is specially designed to avoid the redundant values brought by it. …”
Get full text

Highly Variable Quasar Candidates Selected from 4XMM-DR13 with Machine Learning by Heng Wang, Yanli Ai, Yanxia Zhang, Yuming Fu, Wenfeng Wen, Liming Dou, Xue-Bing Wu, Xiangru Li, Zhiying Huo

“…We present a sample of 12 quasar candidates with highly variable soft X-ray emission, selected from the fourth XMM-Newton Serendipitous Source Catalog (4XMM-DR13), using random forest (RF). …”
Get full text