FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

“…Our method is based on a lightweight deep neural network architecture based on broad learning to reveal hidden factors to detect Android malware. …”
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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…In addition, methods such as SSL and lightweight DL models provide encouraging outcomes in effectively managing large datasets. …”
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SVM directed machine learning classifier for human action recognition network by Dharmanna Lamani, Pramod Kumar, A Bhagyalakshmi, J. Maria Shanthi, Lakshmana Phaneendra Maguluri, Mohammad Arif, C Dhanamjayulu, Sathish Kumar. K, Baseem Khan

“…In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection. …”
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Performance Analysis and Future Trends of the Mazda Wankel Rotary Engine by Wu Jianhua

“…The Mazda Wankel rotary engine, in spite of a lower compression ratio compared to traditional reciprocating engines, stands out for its compact size, lightweight design, and ability to deliver high horsepower with rapid operation. …”
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Properties of Concrete with Tire Derived Aggregate Partially Replacing Coarse Aggregates by Gideon Siringi, Ali Abolmaali, Pranesh B. Aswath

“…Tire derived aggregate (TDA) has been proposed as a possible lightweight replacement for mineral aggregate in concrete. …”
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Privacy-preserving attribute ticket scheme based on mobile terminal with smart card by Rui SHI, Huamin FENG, Huiqin XIE, Guozhen SHI, Biao LIU, Yang YANG

“…To solve the problem that the existing electronic ticket systems are challenging to deploy in resource-constrained devices and cannot prevent the sharing of tickets among unauthorized devices, a privacy-preserving attribute ticket scheme based on mobile terminal with a smart card was proposed.The smart card was a secure and constrained-yet-trusted core device that holds secret information and performs lightweight operations.The mobile terminal was a powerful helper device that handles key-independent and time-consuming operations.Firstly, the efficient attribute-based ticket scheme deployed on the mobile terminal with a smart card was constructed by combining a pseudorandom function, anonymous ephemeral identities scheme, aggregatable signatures with randomizable tags, and Pointcheval-Sanders signatures.Secondly, the security model of the electronic tickets system was presented, and the proposed scheme was proved to be unlinkable and unforgeable.Finally, the proposed scheme was implemented on a personal computer, a smart card (Aisinochip ACH512), and a smart phone (Huawei Honor 9i), and the comparison and experimental results show that it is efficient.…”
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Siamese comparative transformer-based network for unsupervised landmark detection. by Can Zhao, Tao Wu, Jianlin Zhang, Zhiyong Xu, Meihui Li, Dongxu Liu

“…In addition, we integrate a lightweight direction-guided Transformer into the image pose encoder to perceive global feature relationships, thereby improving the representation and encoding of landmarks. …”
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Blockchain empowered 6G by Yueyue DAI, Ke ZHANG, Yan ZHANG

“…6G network not only explore higher communication rates but also combine with the emerging technologies such as cloud computing,edge computing,artificial intelligence,and big data,and use a new network architecture to achieve wider interconnection and interoperability across network and domains,and provide an intelligent,safe and efficient technical support for industrial Internet of things,smart cities,and intelligent transportation.Blockchain technology as a decentralized,open and transparent distributed ledger technology can provide strong security for 6G.The integration of blockchain technology and 6G network was studied.Firstly,the difference between 5G and 6G network and the challenges of 6G faced were given,and the research of blockchain technology in spectrum management,mobile edge computing and D2D communication was reviewed.Then,the integration of blockchain technology and 6G emerging network was explored.Thus,the technical challenges in terms of blockchain and the cloud-edge-device network,blockchain and federal learning,blockchain-based resource transactions,and lightweight blockchain for edge network were presented.The corresponding solutions were also given.…”
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A DSP-Controlled Permanent Magnet Synchronous Motor Control System for Hybrid Vehicles by Qiang Fu

“…At the same time, its weight is relatively light, so it is more in line with the development trend of hybrid electric vehicle (EV) drive motor lightweight miniaturization and has been widely used. …”
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Research on the trusted environment of container cloud based on the TPCM by Guojie LIU, Jianbiao ZHANG, Ping YANG, Zheng LI

“…Container technology is a lightweight operating system virtualization technology that is widely used in cloud computing environments and is a research hotspot in the field of cloud computing.The security of container technology has attracted much attention.A method for constructing a trusted environment of container cloud using active immune trusted computing was proposed, and its security meet the requirements of network security level protection standards.First, container cloud servers were measured through the TPCM and a trust chain from the TPCM to the container's operating environment was established.Then, by adding the trusted measurement agent of the container to the TSB, the trusted measurement and trusted remote attestation of the running process of the container were realized.Finally, an experimental prototype based on Docker and Kubernetes and conduct experiments were built.The experimental results show that the proposed method can ensure the credibility of the boot process of the cloud server and the running process of the container and meet the requirements of the network security level protection standard evaluation.…”
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AUTOMATIC ACQUISITION OF STRESS DISTRIBUTION CHARACTERISTIC AND INFLUENCE KNOWLEDGE FOR LARGE-SCALE COMPONENT by HUA HaiYan, LIN Hua

“…Furthermore,the influences of structural parameters for characteristic stresses and lightweight index were analyzed. By constructing knowledge reasoning model based on multi-states adjusting strategy,the main influence factors as well as their saliency under different expectations were acquired to reflect the priority of structural parameters for adjusting. …”
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FATIGUE FAILURE SENSITIVITY EVALUATION METHOD OF AUTOMOBILE REAR AXLE BASED ON NCODE by ZHANG Yu, LI Chang, HAN Xing, GAO HeXin, GAO Xing

“…It is of great significance to quantitatively evaluate the fatigue sensitivity of rear axle to realize the lightweight design of automobile and to improve the effective service life and safety of automobile. …”
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Use of Recycled Potting Medium for Containerized Production of Squash by Marie Dorval, Riphine Mainviel, Vincent Michael, Yuqing Fu, Bala Rathinasabapathi, Geoffrey Meru

“…Although expensive, potting media are lightweight and provide high water- and nutrient-holding capacities, and thus they are widely used by growers. …”
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Fault Diagnosis Method Based on MTF-ResDSCNN Two-dimensional Image by Hu Mengnan, Yang Xiwang, Huang Jinying, Hu Hongjun, Wang Cheng

“…In order to effectively capture the fault features contained in the vibration signals of the rotating machinery and complete the fault diagnosis task efficiently, a fault diagnosis model combining two-dimensional image features and lightweight neural network is designed. Firstly, the collected one-dimensional vibration signals are decomposed by modified ensemble empirical mode decomposition (MEEMD) to obtain the intrinsic mode function (IMF) components, and the corresponding IMF components are selected for sum reconstruction to enhance the amplitude fluctuation of vibration signals. …”
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Construction and typical cases analysis of edge cloud platform for telecom operators by Huazhang LV, Dan CHEN, Youxiang WANG

“…Edge cloud technology is the product of ICT integration and also the key technology to support operators in 5G network transformation.Relying on the advantages of abundant communication cloud resources,operators can build edge cloud resource pools on the side of network edges for end users to ensure low delay and high bandwidth business requirements,so as to meet the future business development of high-definition video,VR/AR,industrial internet and internet of vehicles.The overall thinking of operators to build edge cloud platform were focused on,including hardware selection,lightweight virtualization layer,PaaS platform construction and business management scheduling strategy.In the end,several types of services enabled by edge cloud of operators were analyzed and explained,including security monitoring scenarios,CDN sinking,slice customization and service acceleration.In the future,operators will provide edge cloud to end solutions,establish a new industry ecology for 5G,and promote the development of the entire edge cloud industry chain.…”
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Electromagnetic Shielding Characteristics of Eco-Friendly Foamed Concrete Wall by Sung-Sil Cho, Jin-Man Kim, Ic-Pyo Hong

“…Industrial by-products such as ladle furnace slag (LFS), gypsum, and blast furnace slag (BFS) were added to manufacture foamed concrete with enhanced functionalities such as lightweight, heat insulation, and sound insulation. …”
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Research of Composed Profile with Wide Top High-sealing Zone of Involute Rotor by Yulong Li, Ping Liu, Yong Zang, Jun Fan, Ying Cheng

“…To realize the higher performance design of involute rotor, based on four possible top structure, from seven aspects of profiles parameterization, the limit value of shape coefficient, volume utilization coefficient, size optimization and so on, the higher performance profiles with wide top for high-sealing zone is finally constructed. Then, from lightweight of rotor as design object, the optimization model is constructed. …”
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Attack detection model based on stacking ensemble learning for Internet of vehicles by XU Huibin, FANG Long, ZHANG Sha

“…Secondly, GBDT was used to evaluate the importance of features and select sample data with important features to build a lightweight classifier. Finally, the <italic>k</italic>-fold cross-validation stacking method was used to reduce the probability of overfitting. …”
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Dual Independent Rotor Axial Flux Induction Motor for Electric Vehicle Applications by Alireza Hesari, Ahmad Darabi, Fazel Pourmirzaei Deylami

“…The results show that the simulations and measurements are in good agreement and the proposed propulsion system can be a suitable option for lightweight electric vehicles.…”
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Algorithm Development and Design of Lattice Conical Shell Under Mechanical and Thermal Loads by Behrooz Shahriari, Mahdi Sharifi, Hassan Izanlo

“…This shell can be used in various industries due to its lightweight and high resistance. Whereas the safety factor of the final model is about 2 and the model is acceptable for desirable internal pressure (0.6 MPa), the total system mass is about 41 kg.…”
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