Remote Sensing Image Change Detection Based on Multi-Level Diversity Feature Fusion by Honggang Xie, Wanjie Ma

“…However, due to the different spectral response characteristics of various remote sensing satellite sensors and the presence of aging issues, the captured remote sensing images exhibit color imbalance under different seasons and lighting conditions. …”
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Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification by Wei Zhou, Hangyu Zhu, Wei Chen, Chen Chen, Jun Xu

“…To address the above issues, this paper proposes an ensemble-based sequential convolutional neural network (E-SCNN) that incorporates a clustering module and neural networks. …”
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Lifelong Learning-Enabled Fractional Order-Convolutional Encoder Model for Open-Circuit Fault Diagnosis of Power Converters Under Multi-Conditions by Tao Li, Enyu Wang, Jun Yang

“…Open-circuit (OC) faults in power converters are common issues in motor drive systems, significantly affecting the safe and stable operation of the system. …”
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Time Delay Concealment in Feedback Chaotic Systems With Dispersion in Loop by Junxiang Ke, Lilin Yi, Tongtong Hou, Ye Hu, Guangqiong Xia, Weisheng Hu

“…The concealment of time delay signature is one of the most critical issues in delayed-feedback optical chaotic systems. …”
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Few-Shot Object Detection for Remote Sensing Images via Pseudo-Sample Generation and Feature Enhancement by Zhaoguo Huang, Danyang Chen, Cheng Zhong

“…The preceding phenomenon indicates that severe feature confusion in remote sensing FSOD hampers the ability of the model to accurately classify and localize instances. To address these issues, this paper proposes a two-stage FSOD framework based on transfer learning via pseudo-sample generation and feature enhancement (PSGFE), including pseudo-sample generation module (PSGM) and feature enhancement module (FEM). …”
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An automatic remote sensing image shadow compensation method utilizing reflectance differences and transfer learning by Xingyu Shen, Yungang Cao, Baikai Sui, Shuang Zhang, Dejun Feng

“…Then, a Buffer-based mask attention Module is proposed to enhance the network’s attentiveness to both shadows and shadow boundaries. …”
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Learning spatio-temporal context for basketball action pose estimation with a multi-stream network by Zhihao Zhang, Wenyue Liu, Yuan Zheng, Linkang Du, Lezhong Sun

“…Finally, we introduced a stage-wise streaming training module that progressively enhances the model’s accuracy and generalization ability through three stages. …”
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Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

“…The training speed can be considerably slow without the support of powerful GPU hardware. To address these issues, this study proposes an Adaptive Time Compression (ATC) module. …”
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KPMapNet: Keypoint Representation Learning for Online Vectorized High-Definition Map Construction by Bicheng Jin, Wenyu Hao, Wenzhao Qiu, Shanmin Pang

“…In addition, a map mask fusion module and an enhanced hybrid attention module are incorporated to mitigate the issues introduced by the new representation. …”
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TPI-Net: Time-Phase Interaction Network Based on Learnable Wavelet Attention for Remote Sensing Change Detection by Yekai Cui, Jintao Song, Jinjiang Li

“…The model first employs ResNet50 for feature extraction, followed by the Deformable Local-Global Attention Interaction Module (DLGAM), which enhances feature consistency and suppresses nonchange area interference. …”
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Bilinear Learning with Dual-Chain Feature Attention for Multimodal Rumor Detection by Zheheng Guo, Haonan Liu, Lijiao Zuo, Junhao Wen

“…This paper proposes a dual-chain multimodal feature learning framework for rumor detection to address these issues. The framework comprehensively extracts rumor content features through the following two parallel processes: a basic semantic feature extraction module that captures fundamental textual and visual semantics, and a logical connection feature learning module that models both the internal logical relationships within text and the cross-modal semantic alignment between text and images. …”
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Dedicated hardware architecture for localizing iris in VW images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…The architecture presented here generates the edge-maps for limbic and pupil boundary detection using median filtering followed by Sobel edge detection; however, an additional reflection removal module is used for pupil boundary detection. Further, the CHT hardware module detects circle in each edge-map. …”
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RSTD-YOLOv7: a steel surface defect detection based on improved YOLOv7 by Hongru Song

“…Second, the STRVGG module, constructed using the Swin Transformer, is incorporated into the neck network. …”
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YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images by Song Ling, Xianggong Hong, Yongchao Liu

“…A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale target detection issues in infrared road scenes. The method reconstructs the neck section of the algorithm using the multi-scale attentional feature fusion idea. …”
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Fall Detection Algorithm Using Enhanced HRNet Combined with YOLO by Huan Shi, Xiaopeng Wang, Jia Shi

“…The accuracy of the key point detection module on the COCO and OCHuman datasets reaches 73.49% and 70.11%, respectively. …”
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Localization and Pixel-Confidence Network for Surface Defect Segmentation by Yueyou Wang, Zixuan Xu, Li Mei, Ruiqing Guo, Jing Zhang, Tingbo Zhang, Hongqi Liu

“…However, two major challenges persist in specific application scenarios: first, the imbalanced area distribution between defects and the background leads to degraded segmentation performance; second, fine gaps within defects are prone to over-segmentation. To address these issues, this study proposes a two-stage image segmentation network that integrates a Defect Localization Module and a Pixel Confidence Module. …”
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Watermarking of Parkinson Disease Speech in Cloud-Based Healthcare Framework by Musaed Alhussein, Ghulam Muhammad

“…Mobile healthcare in a cloud-based system increases the easiness and the ubiquitous nature of patient-doctor relationship. One of the major issues of this healthcare is secure transmission and data authenticity. …”
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SOFTWARE SHELL FOR DEVELOPMENT AND IMPLEMENTATION OF OBJECT RATING ASSESSMENT COEFFICIENT METHODS by Alexander Ivanovich Dolgov

“…The construction and practical application issues of the software shell for the development and implementation of the rating assessment coefficient methods of objects (engineering, organizational, etc.) are considered. …”
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IMPLEMENTING A NEW EDUCATIONAL MODEL OF THE BACHELOR COURSE: EXPERIENCE OF THE PLEKHANOV RUSSIAN UNIVERSITY OF ECONOMICS by Evgeniya V. Shubenkova, Aleksandr L. Bobkov

“…The article deals with acute issues of the present day Russian higher education, which are connected with the necessity to raise its quality and its competitiveness on the global market of education. …”
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Editors’ Note by Alberto Raposo, Cléber Corrêa

“… It is our pleasure to introduce you the second issue of JIS in 2017. This issue contains six papers of the Special Issue of the 15th Brazilian Symposium on Human Factors in Computing Systems (IHC 2016). …”
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