Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…This study proposes an Automated Damage Detection using a Modified Seagull Optimizer with Ensemble Learning (ADD-MSGOEL) method for visually impaired people. …”
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DeepLASD countermeasure for logical access audio spoofing by Hamed Al-Tairi, Ali Javed, Tasawer Khan, Abdul Khader Jilani Saudagar

“…Achieving an Equal Error Rate as low as $$4.98\%$$ and a minimum Tandem Detection Cost Function of 0.1208, along with strong generalization to both VC and TTS spoof types, demonstrate the competency of the proposed method for LA spoofing detection. …”
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SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation by Juan Lei, Huigang Wang, Liming Fan, Qingyue Gu, Shaowei Rong, Huaxia Zhang

“…SonarNet features a dual-encoder architecture that leverages residual blocks and a self-attention mechanism to simultaneously capture both global structural and local contextual information. …”
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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

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Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3 by Ahmed Firas Majeed, Pedram Salehpour, Leili Farzinvash, Saeid Pashazadeh

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Defense scheme for the world state based attack in Ethereum by Zhen GAO, Dongbin ZHANG, Xiao TIAN

“…Ethereum is taken as the representative platform of the second generation of blockchain system.Ethereum can support development of different distributed applications by running smart contracts.Local database is used to store the account state (named world state) for efficient validation of transactions, and the state root is stored in the block header to guarantee the integrity of the state.However, some researches revealed that the local database could be easily tempered with, and attackers can issue illegal transactions based on the modified account state to obtain illegitimate benefits.This world-state based security problem was introduced, and the preconditions for attack were analyzed.Compared with the two common security threats under the PoW (proof of work) consensus, it was found that when the attacker controls the same mining computing power, the world-state based attack brought higher risk, and the success rate approached 100%.In order to deal with this threat, a practical scheme for attack detection and defense was proposed accordingly.The secondary verification and data recovery process were added to the Ethereum source code.The feasibility and complexity of the proposed scheme was evaluated with single-machine multi-threading experiments.The proposed scheme improves Ethereum’s tolerance to malicious tampering of account state, and is applicable to other blockchain platforms applying local database for transaction validation, such as Hyperledger Fabric.In addition, the time and computational overhead brought by the proposed scheme are not prominent, so it has good applicability and induces acceptable impact on the performance of original system.…”
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Extensive identification of landslide boundaries using remote sensing images and deep learning method by Chang-dong Li, Peng-fei Feng, Xi-hui Jiang, Shuang Zhang, Jie Meng, Bing-chen Li

“…SCDnn exhibits notable improvements in landslide feature extraction and semantic segmentation by combining an enhanced Atrous Spatial Pyramid Convolutional Block (ASPC) with a coding structure that reduces model complexity. …”
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Drainage Pipeline Multi-Defect Segmentation Assisted by Multiple Attention for Sonar Images by Qilin Jin, Qingbang Han, Jianhua Qian, Liujia Sun, Kao Ge, Jiayu Xia

“…The multiple attention method proposed in this paper was adopted for detection, instance segmentation, and pose detection in different public datasets, especially in the object detection of the coco128-seg dataset under the same condition. …”
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Precision phenotyping in wheat: LiDAR-based plant height estimation and lodging classification using uncrewed ground vehicles by Prabahar Ravichandran, Keshav D. Singh, Scott D. Noble, Raju Soolanayakanahally, Jatinder S. Sangha, Elizabeth K. Brauer, Oscar Molina, Kirby T. Nilsen, Harpinder S. Randhawa, Keith Halcro, Clare Workman, Shankar Pahari

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Post-COVID-19 myocardium and coronary involvement in a young patient: differential diagnosis and comprehensive treatment by O. V. Blagova, V. A. Bryukhanov, M. B. Kislova, V. A. Yumasheva, M. S. Gaeva, D. Kh. Ainetdinova, N. V. Gagarina, E. A. Kogan

“…We described a 35-year-old smoking male patient who, by the end of the first month after COVID-19, developed left ventricular dysfunction with decrease in ejection fraction to 25-30% and persistent left bundle branch block (LBBB). Echocardiography also detected local contractility disorders. …”
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Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway by Antoine Turquet, Andreas Wuestefeld, Guro K. Svendsen, Finn Kåre Nyhammer, Espen Lauvlund Nilsen, Andreas Per-Ola Persson, Vetle Refsum

“…The system successfully identified 10 road-impacting avalanches (100% detection rate). Our results via DAS align with the previous works and indicate that low frequency part of the signal (<20 Hz) is crucial for detection and size estimation of avalanche events. …”
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DEFORMATION WAVES AS A TRIGGER MECHANISM OF SEISMIC ACTIVITY IN SEISMIC ZONES OF THE CONTINENTAL LITHOSPHERE by S. I. Sherman

“…The method can be applied to estimate a dominating direction of movement of the epicentres, which corresponds to the phase velocity of the deformation wave disturbing meta-stability of the fault-block medium, leading to displacement of neighbouring blocks and thus causing a seismic event (Fig. 14). …”
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FabricSpotDefect: An annotated dataset for identifying spot defects in different fabric typesMendeley Data by Farzana Islam, Sumaya, Md Fahad Monir, Ashraful Islam

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AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS by А. D. Nikitina

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Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9 by Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Hendri Darmawan, Nguyen Khanh Son, Yi-Bing Lin, Mohammed J. F. Alenazi

“…Rice is pivotal in global food security and Rice seeding detection in precision agriculture is essential for optimizing crop productivity and efficient resource use. …”
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A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis by Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

“…This reduced complexity NL detection algorithm is particularly well suited for practical hardware implementation using parallel processing at a low latency. …”
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DLP: REDUCED RISK OF LEAKAGE OF CONFIDENTIAL INFORMATION OF THE BANK by T. A. Andryianava, S. B. Salomatin

“…The application of the adapted DLP-system in the Bank allowed to increase the speed of response of information security specialists to the information security events detected by the DLP-system adapted to the Bank, and also allowed the DLP-system to transition from the copy mode to the blocking mode of illegitimate transfer of information.…”
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Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

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A virtual rail train path recognition method based on binocular stereo vision by ZENG Junwei, GENG Li, LU Chenyang, REN Lihui

“…To achieve this, a lane detection model based on Mask R-CNN was developed, incorporating their characteristics such as obvious lane blocks, contour integrity, and unique shape. …”
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