A Mobile Deep Learning Classification Model for Diabetic Retinopathy by Daniel Rimaru, Antonio Nehme, Musaed Alhussein, Khaled Mahbub, Khusheed Aurangzeb, Anas Khan

“…In this work, we have developed a new approach, which involves the development of a lightweight convolutional neural network (CNN)-based model for segmentation of retinal vessels and a mobile application for DR grading. …”
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Encrypted and obfuscation WebShell detection for high-speed network traffic by Yihuai CAO, Wei CHEN, Fan ZHANG, Lifa WU

“…With the gradual development of traffic encryption and text obfuscation technologies, it is increasingly difficult to prevent complicated and malicious WebShell attack events in production environment using traditional detection methods based on text content and network flow features, especially for adversarial samples, variant samples and 0Day vulnerability samples.With the established network traffic collection environment, DPDK technology was used to capture network traffic in the high-speed network environment, and a dataset was marked with label.The dataset consisted of more than 24,000 normal traffic and more than 10,000 malicious WebShell traffic under different platforms, different languages, different tools, different encryption and obfuscation methods.Then Asynchronous traffic analysis system framework and lightweight log collection components were used to efficiently parse raw traffic.Expert knowledge was integrated to analyze HTTP data packets during the communication process of several popular WebShell management tools, and the effective feature set for encrypted and obfuscation WebShell was obtained.Support Vector Machine (SVM) algorithm was used to realize offline training and online detection of complicated WebShell malicious traffic based on the effective feature set.Meanwhile, improving the parameter search method with the genetic algorithm promoted the model training efficiency furthermore.The experimental results showed that the detection efficiency can be guaranteed based on the self-built WebShell attack traffic dataset.Besides, the detection model has a precision rate of 97.21% and a recall rate of 98.01%, and it performed well in the comparative experiments of adversarial WebShell attacks.It can be concluded from the results that the proposed method can significantly reduce the risk of WebShell attack, effectively supplement the existing security monitoring system, and be applied in real network environments.…”
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Experimental and Analytical Study on the Longitudinal Shear Bond Behaviour of Basalt Textile-Reinforced Concrete Composite Slab by Aniket Shirgaonkar, Yogesh Patil

“…Composite deck slab flooring system is gaining popularity since they allow for simpler, lightweight, and more cost-effective building construction technique. …”
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Effect of Ceramic Boron Carbide Particles Addition on the Mechanical and Microstructural Characteristics of Al7020 Alloy Composites by Shrishail Basappa Angadi, Santosh Kumar, Madeva Nagaral, Virupaxi Auradi, Balaraj Valukula

“…The aerospace and automotive engineering industries are seeing a growing need for materials that are both lightweight and very durable. This increased demand has prompted the development of innovative metal matrix composites based on aluminum. …”
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Sandwich Structured Composites for Aeronautics: Methods of Manufacturing Affecting Some Mechanical Properties by Aneta Krzyżak, Michał Mazur, Mateusz Gajewski, Kazimierz Drozd, Andrzej Komorek, Paweł Przybyłek

“…Sandwich panels are composites which consist of two thin laminate outer skins and lightweight (e.g., honeycomb) thick core structure. …”
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CS-FL: Cross-Zone Secure Federated Learning with Blockchain and a Credibility Mechanism by Chongzhen Zhang, Hongye Sun, Zhaoyu Shen, Dongyu Wang

“…In node selection, CS-FL considers multiple dimensions, including node quality, communication resources, and historical credibility, and employs a three-stage mechanism that introduces lightweight probe tasks to assess node status before formal FL training, ensuring high-quality nodes participate. …”
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Automatic Identification Model for Landslide Disaster Using Remote Sensing Images Based on Improved Multiresunet by Zhenyu Zhao, Shucheng Tan, Qinghua Zhang, Hui Chen

“…Additionally, the Canny operator is employed to design a lightweight boundary-focused attention (BFA) mechanism, enhancing the model’s ability to emphasize landslide edge features. …”
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Effects of Strongbacks and Strappings on Vibrations of Timber Truss Joist Floors by Shuo Xue, Zhanyi Zhang, Zhanyi Zhang, Haibin Zhou, Yinlan Shen

“…It is well known that the vertical vibrations of lightweight timber floors would cause discomfort to the occupants. …”
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Mechanical Properties of Multi-Layer Woven E-Glass/Epoxy in Variable Fiber-Mat Directions by Saif Aldeen Ghafel H., Nasri Salh M. Namer, Abdul Jabbar H. Ali

“…It is considered a modern study of this style because of the rapid development in modern engineering industries that required lightweight composite materials with high strength and small thickness, which are used in the aerospace industry aviation and other precision engineering industries. …”
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A Simulated Model of a Triple Band Patch Antenna Proposed for Vital Signs Monitoring Equipment by Anfal Shukur Taher, Rashid Ali Fayadh, Abbas Fadhal Humadi, Aaraf Shukur Alqaisi, Mohd Fareq Abd Malek

“…., increased demand for) equipment to monitor vital activities, Therefore, a microstrip patch antenna was suggested as the topic of this article because it is popular in wireless systems due to its low cost, lightweight, and thin profile. The proposed design is made of FR-4 as a substrate material, and copper for the patch and the ground. …”
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Self-Administered Information Sharing Framework Using Bioinspired Mechanisms by Huibo Bi, Yanyan Chen, Wen-Long Shang, Chengcheng Song, Wenbo Huang

“…The promising potential of distributed and interconnected lightweight devices that can jointly generate superior information-collecting and problem-solving abilities has long fostered various significant and ubiquitous techniques, from wireless sensor networks (WSNs) to Internet of Things (IoT). …”
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Dynamic and efficient vehicular cloud management scheme with privacy protection by Min XIAO, Tao YAO, Yuanni LIU, Yonghong HUANG

“…The vehicular cloud (VC) formed by vehicles is used for localization processing and consumption of traffic sensing data to achieve timely intelligent traffic management.The vehicle cloud is highly dynamic, self-organizing and timely, in which the identity and location privacy of vehicle users need to be protected as this poses challenges to the vehicular cloud management.A dynamic and self-organizing vehicle cloud management scheme based on the asymmetric group key agreement protocol was designed, where the vehicle cloud is automatically formed through the self-organized group key agreement of vehicles.The group key was used to control the provision and access of vehicle cloud services, and the dynamic management of the vehicle cloud was implemented through group key update.The scheme used traceable one-time pseudonym technology to achieve anonymous authentication and conditional privacy protection of vehicle users, and the group key agreement stage only included one bilinear pair operation to achieve high efficiency.In addition, the key negotiation and update process used lightweight signatures, supporting batch verification, to achieve efficient message source authentication and integrity authentication.Then the security and efficiency of vehicle cloud communications in the self-organizing environment can be ensured.The dynamic key update mechanism of the key agreement protocol realized the dynamic joining or exiting of vehicles in the vehicle cloud, adapting to the dynamic characteristics of the vehicle cloud.Under the random oracle model and the difficult assumption of the inverse computational Diffie Hellman (ICDH) problem, it was proved that the asymmetric group key agreement scheme satisfied the selective-plaintext security.The security analysis shows that the scheme can protect the identity and location privacy of vehicle users, realize the legal tracking of malicious vehicles, and ensure the confidentiality, integrity and anti-counterfeiting of communications, as well as the forward security of vehicle cloud dynamic management.The performance comparison analysis shows that this scheme has certain advantages in communication and computing efficiency under the condition of the same function and security level.…”
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Application of Internet of Things in the Health Sector: Toward Minimizing Energy Consumption by Mohammed Moutaib, Tarik Ahajjam, Mohammed Fattah, Yousef Farhaoui, Badraddine Aghoutane, Moulhime El Bekkali

“…It applies to many areas, where it has achieved success, such as healthcare, where a patient is monitored using nodes and lightweight sensors. However, the powerful functions of IoT in the medical field are based on communication, analysis, processing, and management of data autonomously without any manual intervention, which presents many difficulties, such as energy consumption. …”
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Acoustic Emission Analysis of the Cracking Behavior in ECC-LWSCC Composites by Yara Zaki, Ahmed Abouhussien, Assem Hassan

“…Acoustic emission (AE) analysis was utilized to assess the cracking behavior of six lightweight self-consolidating concrete (LWSCC)–engineering cementitious composite (ECC) beams under flexural loading. …”
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Performance Analysis and Optimisation During Machining of Al-ZrB2 Reinforcement-Based Metal Matrix Nanocomposites Using Coated and Uncoated Insert by Seema V. Yerigeri, Vaijanath V. Yerigeri

“…Lightweight and high-strength composites attract attention towards the different industrial applications. …”
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Experimental Study of Thermal and Mechanical Behaviour of Graphite-Filled UJF Composite by K. Manohar Reddy, D. Harsha Vardhan, Y. Santhosh Kumar Reddy, Gujjala Raghavendra, Ramesh Rudrapati

“…It should be noted that these hybrid composites are a promising material at low cost for lightweight structural applications.…”
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Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots by Xiaojie Shi, Shaowei Wang, Bo Zhang, Xinbing Ding, Peng Qi, Huixing Qu, Ning Li, Jie Wu, Huawei Yang

“…Future research and technological development should first solve these current challenges using weakly supervised learning, efficient and lightweight model construction, multisensor fusion and so on.…”
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Sliding-Window Dissimilarity Cross-Attention for Near-Real-Time Building Change Detection by Wen Lu, Minh Nguyen

“…Furthermore, we develop a lightweight Siamese backbone for extracting building and environmental features. …”
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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…We have made several technological advances, including a lightweight blockchain consensus mechanism designed for IoMT networks, an adaptive edge resource allocation method based on reinforcement learning, and a federated learning algorithm optimized for medical data with differential privacy. …”
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Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection by William Villegas-Ch, Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete

“…Blockchain ensures device authentication and data integrity through a lightweight consensus protocol, while AI enables real-time intrusion detection using deep learning models. …”
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