LAYERED DEFENSE IN COMMUNICATION SYSTEMS: JOINT USE OF VPN PROTOCOLS AND LINEAR BLOCK CODES by Vladyslav Sharov, Olena Nikulina

Get full text

TrustBlock: An adaptive trust evaluation of SDN network nodes based on double-layer blockchain. by Bo Zhao, Yifan Liu, Xiang Li, Jiayue Li, Jianwen Zou

“…Simulation results show that the detection rate of the TrustBlock is up to 98.89%, which means this model can effectively identify the abnormal nodes in SDN. …”
Get full text

Object detection in high resolution images based on multiscale and block processing by R. P. Bohush, I. Yu. Zakharava, S. V. Ablameyko

“…Overlapping blocks splitting to improve the classification and detection accuracy is performed on each layer of pyramid except the highest one. …”
Get full text

Improving small object detection via cross-layer attention by Ru Peng, Guoran Tan, Xingyu Chen, Xuguang Lan

“…To address these problems, we propose a cross-layer attention (CLA) block as a generic block for capturing long-range dependencies and reducing noise from high-level features. …”
Get full text

Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

Get full text

Hierarchical Knowledge Transfer: Cross-Layer Distillation for Industrial Anomaly Detection by Junning Xu, Sanxin Jiang

“…There are two problems with traditional knowledge distillation methods in industrial anomaly detection: first, traditional methods mostly use feature alignment between the same layers. …”
Get full text

Application of Message Compliance Detection and Intrusion Blocking Technology in Remote Operation and Maintenance System of Relay Protection by Jiang YU, Honghui GAO, Zebing SHI, Weiwei JIANG, Fangying WU, Qingcai ZHAN, Rui ZHANG

“…Therefore, a message compliance detection method and intrusion blocking technology have been proposed. …”
Get full text

Intrinsic charge manipulation for solution‐processed organic photodetectors with high sensitivity and fast response by Tingbin Yang, Jun Yan, Li Gong, Wentao Zhong, Bulin Chen, Liang Shen, Jisheng Pan, Jenny Nelson, Yongye Liang

“…The unoptimized interfacial charge injection/extraction in solution‐processed bulk‐heterojunction (BHJ) organic photodetectors (OPDs) presents significant challenges in achieving high detectivity and fast response speed. Here, we first develop an approach for intrinsic charge manipulation induced by molecularly engineered donors to block electron injection and facilitate hole extraction between the indium tin oxide (ITO) transparent anode and the photoactive layer. …”
Get full text

A Spoofing Speech Detection Method Combining Multi-Scale Features and Cross-Layer Information by Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng

“…To address this issue, a speech spoofing detection method that integrates multi-scale features and cross-layer information is proposed. …”
Get full text

Deep Learning-Based Detection and Digital Twin Implementation of Beak Deformities in Caged Layer Chickens by Hengtai Li, Hongfei Chen, Jinlin Liu, Qiuhong Zhang, Tao Liu, Xinyu Zhang, Yuhua Li, Yan Qian, Xiuguo Zou

“…In this study, we focused on caged layer chickens and proposed an improved abnormal beak detection model based on the You Only Look Once v8 (YOLOv8) framework. …”
Get full text

Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images by Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair

“…To enhance feature representation in convolutional neural networks, we introduced an improved convolutional block, termed the SE-Res-Conv Block, which incorporates Squeeze-and-Excitation (SE) attention mechanisms within a residual convolutional framework. …”
Get full text

PCB Electronic Component Soldering Defect Detection Using YOLO11 Improved by Retention Block and Neck Structure by Youzhi Xu, Hao Wu, Yulong Liu, Xing Zhang

“…Secondly, the neck structure of the original model network is fused with a Multi-Branch Auxiliary Feature Pyramid Network (MAFPN) structure and turned into a multi-branch auxiliary neck network, which enhances the model’s ability to fuse multiple scaled characteristics and conveys diverse information about the gradient for the output layer. The improved YOLO11n model improves its mAP50 by 0.023 (2.5%) and mAP75 by 0.026 (2.8%) in comparison with the primitive model network, and detection precision is significantly improved, proving the superiority of our proposed approach.…”
Get full text

Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection by Md. Najmul Mowla, Davood Asadi, Shamsul Masum, Khaled Rabie

“…Building upon our prior work on the Unmanned Aerial Vehicle-based Forest Fire Database (UAVs-FFDB) and the multi-headed CNN (MHCNN), this study introduces a novel architecture, namely, the Adaptive Hierarchical Multi-Headed Convolutional Neural Network with Modified Convolutional Block Attention Module (AHMHCNN-mCBAM). This enhanced framework addresses prior challenges by integrating adaptive pooling, concatenated convolutions for multi-scale feature extraction, and an improved attention mechanism incorporating shared fully connected layers, Glorot initialization, rectified linear units (ReLU), layer normalization, and attention-gating. …”
Get full text

LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection by Shuai He, Ye Yuan, Bingyang Yin

“…The model incorporates several innovations: the Diverse Branch Block enhances the detection head, improving accuracy; the mg_conv module replaces conventional convolution layers in the neck network, optimizing feature fusion without increasing computational cost; and improvements to the backbone network further enhance efficiency. …”
Get full text

Detecting memberships in multiplex networks via nonnegative matrix factorization and tensor decomposition by Fengqin Tang, Xiaozong Wang, Xuejing Zhao, Chunning Wang

“…We propose a general and flexible generative model-the mixed membership multilayer stochastic block model, in which layers with meaningful similarities are grouped together. …”
Get full text

Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…A single network is used to simultaneously recognize large-sized coal blocks, detect belt edges, and detect coal flow status. …”
Get full text

A lightweight network for traffic sign detection via multiple scale context awareness and semantic information guidance by Chenjie Du, Siyu Su, Chenwei Lin, Yingbiao Yao, Ran Jin, Xinhua Hong

“…Finally, a semantic information guidance (SIG) module is introduced to leverage deep semantic information to guide shallow feature layers, improving the detection of small traffic signs and enhancing robustness against cluttered backgrounds. …”
Get full text

Improving Petrophysical Interpretation of Conventional Log ‎by Determination of Real Bed Boundaries by F. Khoshbakht, M. R. Rasaie, A. Shekarifard

“…Then the calculated ‎petrophysical properties including porosity and volume of minerals ‎and fluids are distributed into the detected beds. Comparison of ‎petrophysical interpretation of logs based on blocking and FMI ‎derived bedding showed that the petrophysical properties realistically ‎distributed into beds in layered reservoirs with the blocking technique. ‎…”
Get full text

BlockArc: A Blockchain Based Smart Contract for Reward System in E-Commerce by Pooja Patil, Aryan Singh, Aryan Raut, Aakash Sharma, Adarsh Rathod

“…The framework consists of four layers: Blockchain Layer, Smart Contract Layer, Application Layer, and User Roles, each addressing key challenges such as reward fragmentation, fraudulent transactions, and inefficient refund processes. …”
Get full text

Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN by Md. Al Mehedi Hasan, Fuad Al Abir, Md. Al Siam, Jungpil Shin

“…We have modified the residual block and accumulated it in shallow convolutional neural networks with five weighted layers only for gait recognition and proved the efficacy of all the architectural components with extensive experiments over publicly available IMU-based datasets: whuGait and OU-ISIR. …”
Get full text