Artificial intelligence for predicting interstitial fibrosis and tubular atrophy using diagnostic ultrasound imaging and biomarkers by Yen-Chung Lin, Mai-Szu Wu, Chung-Yi Cheng, Cai-Mei Zheng, Chia-Te Liao, Ting-Wei Chang, Chang-Yu Tsai, Zhen-Yi Tang, Che-Chou Shen

“…The data were subjected to pre-processing, exclusion of sub-optimal images, and feature extraction using a dual-path convolutional neural network. …”
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The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy by Mingyan Zhang, Junfa Sheng

“…Features with intraclass correlation coefficient (ICC) ≥ 0.75 were retained after intra- and inter-observer evaluation. …”
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A Systematic Literature Review on the Investigation and Application of Vegetable Fibers in Textiles/Apparel and Future Research Agenda by Shuyang Li, Chris K. Y. Lo, Li Li

“…Vegetable fibers have attracted increasing attention from researchers and manufacturers in the textile and apparel industry for their renewable, biodegradable, and eco-friendly features. However, due to the scattered nature and rapid development, a review that adopts a holistic perspective and analyzes the knowledge evolution structure of the vegetable fiber domain could hardly be found. …”
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MANAGEMENT OF INTERNET MARKETING IN EDUCATION SYSTEM WITH BLOCK CHAIN TECHNOLOGIES by U. A. Vishniakou, D. A. Kachan

“…We have also developed the proposals for improving IM in an integrated environment (traditional network and cloud) using intelligent and block chain technologies. …”
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A New Method for Identifying Key and Common Themes Based on Text Mining: An Example in the Field of Urban Expansion by Yanwei Zhang, Xinhai Lu, Chaoran Lin, Feng Wu, Jinqiu Li

“…Second, the key degree of the thematic node in the thematic evolution transfer network is used to represent the key feature of a theme, and the PageRank algorithm is employed to measure the critical score of this theme. …”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…Although existing studies have attempted to combine acoustic and visual information, most adopt simple feature-level fusion strategies, which fail to fully explore the complementary advantages of the two modalities under different environmental conditions and lack dynamic evaluation mechanisms for modal reliability. …”
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ORB-SLAM2 System Enhanced With SiaT-Hough Module on Mars Digital Twin Platform: For Rock Counting and 3D Reconstruction in Martian Environments by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…In addition, we also carried out 3D reconstruction positioning accuracy evaluation and point cloud quality evaluation, and the positioning absolute track error on the two public data sets was less than 0.1m, 0.0639m and 0.0106m, respectively. …”
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Review of Research on Trajectory Prediction of Road Pedestrian Behavior by YANG Zhiyong, GUO Jieru, GUO Zihang, ZHANG Ruixiang, ZHOU Yu

“…Special emphasis is placed on deep learning methods, categorized by network architecture into sequential models, convolutional neural networks, graph convolutional networks,  generative adversarial networks, etc. …”
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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…The PPDM is incorporated into the deeper layer of the encoder section of the deep learning network to allow it to recognize complex semantic features. …”
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ALCS-PP: Adaptive Latency Control Scheme for Packet Pacing in Self-Clocked Congestion Control by Haider Dhia Zubaydi, Ahmed Samir Jagmagji, Sandor Molnar

“…The experimental evaluation highlights the algorithm’s capability to balance delay reduction and network stability, making it suitable for delay-sensitive applications such as 5G, Internet of Things (IoT), and real-time multimedia streaming.…”
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Edge-Guided DETR Model for Intelligent Sensing of Tomato Ripeness Under Complex Environments by Jiamin Yao, Jianxuan Zhou, Yangang Nie, Jun Xue, Kai Lin, Liwen Tan

“…EG-DETR introduces edge prior information by extracting multi-scale edge features through an edge backbone network. These features are fused in the transformer decoder to guide queries toward foreground regions, which improves detection under occlusion. …”
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Hydrous Chondrites under Shock by Adrien Saurety, Razvan Caracas

“…We calculate Hugoniot equations of state (HEOS) and evaluate how hydration affects transport, structural, and thermodynamic features under shock compression. …”
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Starting driving style recognition of electric city bus based on deep learning and CAN data by Dengfeng Zhao, Zhijun Fu, Chaohui Liu, Junjian Hou, Shesen Dong, Yudong Zhong

“…Data set is labelled with subjective evaluation method. The starting driving style recognition method based on Convolutional Neural Network (CNN) model is constructed. …”
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ML-Driven Energy Savings for Cellular Baseband Units via Traffic Prediction by Aneta Kolackova, Viet Anh Phan, Jan Jerabek, Sergey Andreev, Jiri Hosek

“…PESBiU 2.0 uses granular interval datasets and machine learning (ML) models to predict traffic loads and optimize power states. The design features a hybrid architecture of Hyper Convolutional Neural Network-Long Short-Term Memory (Hyper-CNN-LSTM) model for accurate forecasting with a reinforcement learning (RL) decision engine based on Dueling Double Deep Q-Networks (DDDQN), making it the first framework to apply DDDQN for BBU energy optimization in 5G and beyond networks. …”
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Single-cell and spatial transcriptomic analysis reveals tumor cell heterogeneity and underlying molecular program in colorectal cancer by Teng Wang, Zhaoming Chen, Wang Wang, Wang Wang, Heng Wang, Shenglong Li

“…A prognostic model containing 15 genes was developed, demonstrating an AUC greater than 0.8 for prognostic evaluation over 1 to 10 years when combined with clinical features. …”
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Urban Functional Zone Mapping by Integrating Multi-Source Data and Spatial Relationship Characteristics by Daoyou Zhu, Xu Dang, Wenjia Shi, Yixiang Chen, Wenmei Li

“…Experimental evaluations utilizing Gaofen-2 (GF-2) satellite imagery, POI data, and OSM road network information from Shenzhen, China have yielded remarkable results. …”
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Structure and Ultrasonic Properties of Vanadium Tellurite Glasses Containing Copper Oxide by Nadia S. ABD EL-AAL, Hesham A. AFIFI

“…The density, molar volume, and ultrasonic velocities show interesting features, which are used to explore the structural changes in the network. …”
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A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM by Jingtong Zhao, MS, Eugene Vaios, MD, MBA, Evan Calabrese, MD, PhD, Zhenyu Yang, PhD, Scott Robertson, PhD, John Ginn, PhD, Ke Lu, PhD, Fang-Fang Yin, PhD, Zachary Reitman, MD, PhD, John Kirkpatrick, MD, PhD, Scott Floyd, MD, PhD, Peter Fecci, MD, PhD, Chunhao Wang, PhD

“…Methods and Materials: We studied 90 BMs from 62 patients with non-small cell lung cancer, with 27 biopsy-confirmed post-SRS local recurrences. Clinical features and molecular features were collected. A deep neural network (DNN) was trained for radionecrosis/recurrence prediction using the 3-month post-SRS T1+c magnetic resonance imaging. …”
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Slow-Moving Landslide Hazard Assessment Using LS-Unilab Deep Learning Model with Highlighted InSAR Deformation Signal by Xiangyang Li, Peifeng Ma, Song Xu, Hong Zhang, Chao Wang, Yukun Fan, Yixian Tang

“…Additionally, a squeeze-and-excitation network is embedded to adjust the weight relationship between the features of each channel in order to enhance the performance of network evaluation. …”
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Attention-based multi-scale convolution and conformer for EEG-based depression detection by Ze Yan, Ze Yan, Ze Yan, Yumei Wan, Xin Pu, Xiaolin Han, Mingming Zhao, Haiyan Wu, Wentao Li, Xueying He, Yunshao Zheng

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