A formally verified authentication protocol in secure framework for mobile healthcare during COVID-19-like pandemic by Shaik Shakeel Ahamad, Al-Sakib Khan Pathan

“…In addition to these issues, mobile healthcare applications are prone to various types of attacks and formal proof is often unavailable. …”
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YOLOv11-RDTNet: A Lightweight Model for Citrus Pest and Disease Identification Based on an Improved YOLOv11n by Qiufang Dai, Shiyao Liang, Zhen Li, Shilei Lyu, Xiuyun Xue, Shuran Song, Ying Huang, Shaoyu Zhang, Jiaheng Fu

“…Second, the Dynamic Group Shuffle Transformer (DGST) module replaces the original C3k2 module, reducing the model’s parameter count and computational demand, further enhancing efficiency and performance. …”
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vFerryman: An Artificial Intelligence-Driven Personalized Companion Providing Calming Visuals and Social Interaction for Emotional Well-Being by Wei-Ji Wang

“…As awareness of mental health issues grows, there is an increasing demand for innovative tools that provide personalized emotional support. …”
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A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies by Jin Lu, Zhongji Cao, Jin Wang, Zhao Wang, Jia Zhao, Minjie Zhang

“…More specifically, the network PGSS-YOLOv11s is composed of an original backbone of the YOLOv11s-seg, a spatial feature aggregation module (SFAM), an adaptive feature fusion module (AFFM), and a detail-enhanced convolutional shared detection head (DE-SCSH). …”
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Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning. by Rundong Cao, Jiazhong Yu, Ziwei Liu, Qinghua Liang

“…Additionally, a multi-scale feature fusion module is proposed to obtain high-quality feature maps for detecting targets of different scales. …”
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Computing Legal Analysis: A Guided Approach to Problem Solving in Contract Law by Marton Ribary, Antony Starza-Allen

“…The method creates scaffolding for learning and a framework through which legal issues can be identified. These frameworks can be used to locate legal information relevant to the construction of analysis and argument to the point of producing legal advice with confidence. …”
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EEG emotion recognition based on parallel separable convolution and label smoothing regularization by Yong ZHANG, Jikui LIU, Wenlong KE

“…In recent years, emotion recognition methods based on deep learning and electroencephalogram (EEG) have achieved good results.However, existing methods still have issues such as incomplete extraction of emotional features from EEG and significant impact from artificially mislabeled emotional labels.A parallel separable convolution and label smoothing regularization (PSC-LSR) network model was proposed.Firstly, through the attention mechanism, EEG important time points and important channels were given greater weight to obtain shallow emotional features of EEG.Secondly, a parallel separable convolution module was used to comprehensively extract EEG emotional information and obtain deep emotional features.Finally, the emotion label smoothing regularization method was used to optimize the model parameters, which increased model’s fault tolerance probability for incorrect labels, enhanced the generalization and robustness of the network model, and improved accuracy of EEG emotion recognition.The proposed method has been validated in two datasets, in which the average accuracy rates of arousal and valence dimensions in the DEAP dataset reaches 99.23% and 99.13%, respectively.In the Dreamer dataset, the average accuracy rates for both arousal and valence dimensions reaches 97.33% and 97.25%.…”
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A Comparative Analysis of Self-Rectifying Turbines for the Mutriku Oscillating Water Column Energy Plant by Erlantz Otaola, Aitor J. Garrido, Jon Lekube, Izaskun Garrido

“…However, the most widely used turbine comprising its power take-off (PTO) module, the Wells turbine, presents some drawbacks that require special attention. …”
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Measuring Harmonic Mixer in the Frequency Range from 78.33 to 118.10 GHz by I. A. Zakharov, A. V. Gusinsky, A. V. Saikov, M. M. Kasperovich, D. A. Kondrashov, M. S. Svirid

“…The issues of realization of ultra-high-frequency measuring mixers on harmonics with a built-in frequency diplexer and the relevance of their application are considered. …”
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An improved YOLOv5n algorithm for detecting surface defects in industrial components by Jia-Hui Tian, Xue-Feng Feng, Feng Li, Qing-Long Xian, Zhen-Hong Jia, Jie-Liang Liu

“…Abstract Due to the small defect areas and indistinct features on industrial components, detecting surface defects with high accuracy remains challenging, often leading to false detections. To address these issues, this paper proposes an improved YOLOv5n algorithm for industrial surface defect detection. …”
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MRIE: Enhanced Rainfall Intensity Estimation With Two-Stage Multimodal Deep Learning by Jin Li, Wentao Hu, Zhigang Zhou

“…However, the reliability of existing methods in practical applications is relatively low due to certain deficiencies in data processing and noise resistance. To address these issues, MRIE is proposed, a two-stage multimodal framework that integrates data from environmental sensors and audio recordings to improve estimation accuracy. …”
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Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling by Miao Peng, Sue Bai, Yang Lu

“…Second, the weighted fusion splicing module, Concat_BiFPN, is used in the neck network to facilitate multi-scale feature detection and fusion. …”
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Development of metacognition-based mathematics learning devices with heuristic strategies on sequences and series by Nadita Lerian Rosendra, Y. Yarman, Edwin Musdi, I Made Arnawa

“…Enhancing pupils' capacity to resolve mathematical issues is the aim. Students in SMAN 1 Lengayang's grade X, or Phase E, participated in this study. …”
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Preparation for injectable dental anаesthesia

“…It is disappointing that the new module in the dental curriculum (2011) «Local anaesthesia and anaesthesiology in dentistry» does not contain any step-by-step oral cavity preparation prior to performing an injection. …”
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Study on the Balise Antenna Interference Problem on Nanjing Metro Line 7 by HE Yuqin, XIE Wei

“…Method The signal equipment restart failure encountered by the balise transmission module (BTM) on Nanjing Metro Line 7 during the commissioning stage is taken as the research object. …”
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Enhanced boundary perception and streamlined instance segmentation by Junyong Shi, Guangzhi Chen, Yu Chen

“…BorderMask comprises three key innovations: the Multiscale Boundary Perception Enhanced Attention (MBPEA) module, which iteratively optimizes multi-scale boundary features; the Cross-modal Link Structure (CMLS), which enables information exchange between detection and segmentation branches; and the Equilibrium Map loss function, which mitigates class imbalance issues. …”
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A secure and scalable blockchain-based model for electronic health record management by Kalyani Pampattiwar, Pallavi Chavan

“…This paper proposes a robust model that overcomes critical issues related to security, privacy, access control, and ownership transfer of patients’ records. …”
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Design and Prototype of a Solar Array Malfunction Identification System. by Wabuyi, Richard

“…SAMIS integrates cutting-edge monitoring technologies and data analysis algorithms to detect, diagnose, and report issues within solar arrays. The system identifies problems such as diminished power output, module shading, and electrical faults using real-time performance monitoring and anomaly detection. …”
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Nondestructive Detection and Quality Grading System of Walnut Using X-Ray Imaging and Lightweight WKNet by Xiangpeng Fan, Jianping Zhou

“…Then, an effective walnut kernel detection network (called WKNet) was developed by employing Transformer, GhostNet, and criss-cross attention (called CCA) module to the YOLO v5s model, aiming to solve the time consuming and parameter redundancy issues. …”
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Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture by Yu Song, Qi Zhou

“…Additionally, single-task models lack generalization and fail to fully utilize relevant information. To address these issues, this paper proposes a new bi-modal bi-task emotion recognition model. …”
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