Individual identification of wild raptors using a deep learning approach: A case study of the white-tailed eagle by Xi Guo, Yufeng Chen, Yu Guan, Hongfang Wang, Tianming Wang, Jianping Ge, Lei Bao

“…Our framework could improve the accuracy of identifying individuals in complex wild environments, offering a promising method for population detection and conservation research involving wild animals.…”
Get full text

Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning by Toshihiro Tsukagoshi, Masafumi Nishida, Masafumi Nishimura

“…Additionally, efficient model adaptation was achieved through two-stage fine-tuning of the self-supervised learning model. …”
Get full text

A systematic review of multi-mode analytics for enhanced plant stress evaluation by Abdolrahim Zandi, Seyedali Hosseinirad, Hossein Kashani Zadeh, Kouhyar Tavakolian, Byoung-Kwan Cho, Fartash Vasefi, Moon S. Kim, Pantea Tavakolian, Pantea Tavakolian

“…IntroductionDetecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. …”
Get full text

An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…ASSA addresses the challenge of determining the optimal number of decomposition layers, eliminating the parameter adjusting process and enhancing the measurement efficiency of sensor systems. Through experiments, magnetotelluric (MT) observation data with complex interferences were applied to demonstrate the performance of ASSA, and promising results with an RMSE of 0.2 were obtained. …”
Get full text

Continuous Gesture Sequences Recognition Based on Few-Shot Learning by Zhe Liu, Cao Pan, Hongyuan Wang

“…A large number of demands for space on-orbit services to ensure the on-orbit system completes its specified tasks are foreseeable, and the efficiency and the security are the most significant factors when we carry out an on-orbit mission. …”
Get full text

Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…This multi-agent system strengthens both the security and computational efficiency by reducing attack vulnerabilities by 15–18 % and lowering the computational complexity by 20–25 %. …”
Get full text

Tuning surface interactions with bentonite-graphite composite material for fouling-resistant electrochemical sensing of phenol in olive mill wastewater by Soukaina El Abbadi, Abdelaziz Elgamouz, Abdel-Nasser Kawde, Mohamed Douma, Hajar El Moustansiri, Najib Tijani

“…A bentonite-modified carbon paste electrode (CPEB) was developed and evaluated as an efficient electrochemical sensor for phenol detection in aqueous systems, with a particular focus on enhancing sensitivity, selectivity, and fouling resistance through interfacial material design. …”
Get full text

Evaluating Skin Tone Fairness in Convolutional Neural Networks for the Classification of Diabetic Foot Ulcers by Sara Seabra Reis, Luis Pinto-Coelho, Maria Carolina Sousa, Mariana Neto, Marta Silva, Miguela Sequeira

“…VGG19 achieved the highest accuracy at 97%, demonstrating superior ability to focus activations on relevant lesion areas in complex images. MobileNetV2, while slightly less accurate, excelled in computational efficiency, making it a suitable choice for mobile devices and environments with hardware constraints. …”
Get full text

Big Data for Veterinary Sciences: Instructions for Use by Oscar TAMBURIS

“…In livestock management, the integration of smart cameras and artificial intelligence supports real-time health monitoring and predictive analytics, helping farmers detect early signs of disease, optimize resource allocation, and improve production efficiency. …”
Get full text

IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…By comparing IKEChecker with other fuzz testing tools, its efficiency in vulnerability detection was evaluated.…”
Get full text

HASSDE-NAS: Heuristic–Adaptive Spectral–Spatial Neural Architecture Search with Dynamic Cell Evolution for Hyperspectral Water Body Identification by Feng Chen, Baishun Su, Zongpu Jia

“…This approach outperforms existing methods in delineating narrow river systems and resolving water bodies with weak spectral contrast under complex backgrounds, such as vegetation or cloud shadows. …”
Get full text

Location Research and Picking Experiment of an Apple-Picking Robot Based on Improved Mask R-CNN and Binocular Vision by Tianzhong Fang, Wei Chen, Lu Han

“…As their “perceptual core,” machine vision systems directly determine picking success rates and operational efficiency. However, existing vision systems still exhibit significant shortcomings in target detection and positioning accuracy in complex orchard environments (e.g., uneven illumination, foliage occlusion, and fruit overlap), which hinders practical applications. …”
Get full text

Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. When the fracture propagates upwards, the "shielding effect" caused by the overlying fracture significantly hinders the GPR signal's ability to detect the lower fracture tip. …”
Get full text

Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…This design enables DVE-YOLO to capture dynamic object features, reveal correlations of detected objects across frames, and facilitate efficient tracking and detection. …”
Get full text

DS Net: A Dual-Coded Segmentation Network Leveraging Large Model Prior Knowledge for Intelligent Landslide Extraction by Xiao Wang, Dongsheng Zhong, Chenghao Liu, Xiaochuan Song, Luting Xu, Yue Deng, Shaoda Li

“…An innovative Dual-Coded Segmentation Network (DS Net), which realizes dynamic alignment and deep fusion of local details and global context, image features and domain knowledge through the multi-attention mechanism of Prior Knowledge Integration (PKI) module and Cross-Feature Aggregation (CFA) module, significantly improves the landslide detection accuracy and reliability. To objectively evaluate the performance of the DS Net model, four efficient semantic segmentation models—SegFormer, SegNeXt, FeedFormer, and U-MixFormer—were selected for comparison. …”
Get full text

Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…The YOLOv8 C2f module is enhanced with a new SC_Bottleneck structure, incorporating the SCConv module, now termed SC_C2f, to mitigate model complexity and computational costs. Additionally, the original Detect structure is substituted with the PC-Head decoupling head, leading to a significant reduction in parameter count and an enhancement in model efficiency. …”
Get full text

Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
Get full text

Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

Get full text

Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…Customer churn is one of the challenges of business management in today's complex competitive environment. For this purpose, the organization must have an efficient system to detect and analyze the factors influencing customer churn. …”
Get full text

Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Abstract Plant disease identification and detection refer to the process of recognizing and diagnosing diseases that affect plants. …”
Get full text