Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

“…However, besides requiring an algorithm model that can produce high accuracy, lightweight computation is needed so that it can be applied in a detector. …”
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Harnessing Nature‐Derived Sustainable Materials for Electrochemical Energy Storage: Unveiling the Mechanism and Applications by Naman Sharma, Kirti Mishra, Nirankar Singh, Samarjeet Singh Siwal, Phil Hart, Vijay Kumar Thakur

“…These polymers offer these innovative energy storage devices' sustainability and recyclability, flexibility, lightweight, and steady cycling performance—all crucial for utilizations involving wearable electronics and others. …”
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Strength and Poisson’s ratio of fused filament fabrication parts made from carbon filler enhanced PEEK compounds at elevated temperatures by Leo Nyman, Pauli Lehto, Kirsi Kukko, Antti Kestilä, Esa Kallio

“…Based on these findings, SCF-PEEK FFF parts demonstrate higher tensile modulus and specific strength compared to plain-PEEK at elevated temperatures (110–130 °C), supporting their use in lightweight aerospace structures.…”
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Multiresponse Optimization of Mechanical and Physical Adsorption Properties of Activated Natural Fibers Hybrid Composites by G. Velmurugan, V. Siva Shankar, L. Natrayan, S. Sekar, Pravin P. Patil, M. Senthil Kumar, Subash Thanappan

“…In the current scenario, natural fiber-based biodegradable composites have increased because natural composite fibers are very cheap, biodegradable, lightweight, fireproof, and nontoxic. The present research work was carried out to optimize the mechanical properties of hybrid composites reinforced by Calotropis gigantea and hemp. …”
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Scenario-adaptive wireless fall detection system based on few-shot learning by Yuting ZENG, Suzhi BI, Lili ZHENG, Xiaohui LIN, Hui WANG

“…A scenario robust fall detection system based on few-shot learning (FDFL) in wireless environment was designed.The performance of existing fall detection methods based on Wi-Fi channel state information (CSI) degrades significantly across scenarios, which requires collecting and marking a large number of CSI samples in each application scenario, resulting in high cost for large-scale deployment.Therefore, the method of few-shot learning was introduced, which can maintain the performance of fall detection with high accuracy when the number of annotated samples in unfa-miliar scenes is insufficient.The proposed FDFL was mainly divided into two stages, source domain meta-training and target domain meta-learning.The meta training stage of the source domain consists of two parts: data preprocessing and classification training.In the data preprocessing stage, the collected original CSI amplitude and phase data were denoised and segmented.In the classification training stage, a large number of processed source domain data samples were used to train a CSI feature extractor based on convolutional neural network.In the meta-learning stage of the target domain, the limited labeled data sampled in the target domain was effectively extracted based on the feature extractor trained in the meta-training module, and then a lightweight machine learning classifier was trained to detect the fall behavior under the cross-scene.Through several experiments in different scenarios, FDFL can achieve an average accuracy of 95.52% for the four classification tasks of falling, sitting, walking and sit down with only a small number of samples in the target domain, and maintain robust detection accuracy for changes in test environment, personnel target and equipment location.…”
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Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing by Jun Liu, Chenggang Zhou, Haoyuan Wei, Jie Pi, Daoying Wang

“…In this paper, a high-precision and lightweight pork freshness detection model is developed by optimizing the MobileNetV3 model with Efficient Channel Attention (ECA). …”
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Towards AI-Based Traffic Counting System with Edge Computing by Duc-Liem Dinh, Hong-Nam Nguyen, Huy-Tan Thai, Kim-Hung Le

“…Using this detection, we presented a lightweight counting method seamlessly combining with a traditional tracking method to increase counting accuracy. …”
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Attention-Guided Shared Hybrid Network for Enhanced Land Cover Segmentation by Yinbing Jiang, Linfeng Shi, Xinyu Fan

“…Most existing remote sensing image segmentation models prioritize lightweight design, which often leads to difficulties in identifying small objects and edge information, as well as insufficient multi-scale capabilities. …”
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Studies on Progress of Aluminum Based Composites for Automotive Applications and its Damping Characteristics – A Review by Karthikeyan Lakshmanan, Pitchipoo Pandian, Rajakarunakaran Sivaprakasam, Kathiravan Sundaram

“…When the overall vehicle weight is reduced by adopting lightweight metals like aluminum-based composites, the fuel consumption also gets reduced. …”
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Phishing detection algorithm based on attention and feature fusion by ZHANG Sirui, YAN Zhiwei, DONG Kejun, YUCHI Xuebiao

“…In the first stage, the algorithm leveraged the lightweight characteristics of the machine learning model to pre-recall a subset of suspicious domain names from a multitude of domain names. …”
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Flexural characteristics of additively manufactured continuous fiber-reinforced honeycomb sandwich structures by Rafael Guerra Silva, Gustavo Morales Pavez

“…For instance, continuous fiber can be used to reinforce the faces while lightweight customized lattice structures could be selected for the core, all built integrally in one single process. …”
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Design and Control of an Upper Limb Bionic Exoskeleton Rehabilitation Device Based on Tensegrity Structure by Peng Ni, Jianwei Sun, Jialin Dong

“…Aiming at the problems such as large volume, high cost, low comfort, and difficulty in promotion of traditional exoskeleton rehabilitation devices, and considering the lightweight, discontinuous, high flexibility, and high biomimetic characteristics of tensegrity structure, we designed an upper limb bionic exoskeleton rehabilitation device based on tensegrity structure. …”
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Generalized-Disturbance Rejection Control for Vibration Suppression of Piezoelectric Laminated Flexible Structures by Xiao-Yu Zhang, Run-Xiao Wang, Shun-Qi Zhang, Zhan-Xi Wang, Xian-Sheng Qin, Rüdiger Schmidt

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Secure User Authentication With Information Theoretic Security Using Secret Sharing-Based Secure Computation by Keiichi Iwamura, Ahmad Akmal Aminuddin Mohd Kamal

“…Therefore, this study suggests the implementation of user authentication and secure communication that guarantees information-theoretic security through the use of secure computation based on a computationally lightweight <inline-formula> <tex-math notation="LaTeX">$(k,n)$ </tex-math></inline-formula>-threshold secret sharing scheme. …”
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Modulation of the electromagnetic shielding effectiveness through micro/macrostructure design for electronic packaging by Lizhi Guan, Jingbo Fan, Zhi Kai Ng, Edwin Hang Tong Teo, Hortense Le Ferrand

“…Abstract Lightweight electronic packaging that provides mechanical protection, cooling ability, and customizable electromagnetic interference (EMI) shielding effectiveness (SE) is needed for next-generation electronics. …”
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Deformation behaviour, limitations in design, applications, and additive manufacturing of hierarchical honeycombs by Chibinyani Munashe Ignatius, Dzogbewu Thywill Cephas, Maringa Maina, Muiruri Amos

“…These structures are ideal for aeronautical applications because of their capacity to integrate lightweight design, good mechanical properties, and efficient load distribution. …”
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Research on high-speed classification and location algorithm for logistics parcels based on a monocular camera by Zhehao Lu, Ning Dai, Xudong Hu, Kaixin Xu, Yanhong Yuan

“…The algorithm combines traditional visual processing methods with an enhanced version of the lightweight YOLOv5 object detection algorithm, achieving high-speed, high-precision parcel positioning. …”
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AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

“…In response to these challenges, we propose AnomLite, a lightweight yet effective model designed to detect anomalies in video streams through a hybrid architecture. …”
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A Channel Attention-Driven Optimized CNN for Efficient Early Detection of Plant Diseases in Resource Constrained Environment by Sana Parez, Naqqash Dilshad, Jong Weon Lee

“…To address this, we propose a lightweight convolutional neural network (CNN) designed for resource-constrained devices termed as <i>LeafNet</i>. …”
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Association between Metabolic Syndrome and Musculoskeletal Status: A Cross-Sectional Study of NHANES by Yue Shi, Shuhan Li, Xiaolong Xie, Yue Feng

“…MetS is more associated with BMD in women, MQI in normal or heavyweight, and BMD in lightweight, according to stratified analysis. MQI explains the indirect effect of MetS on BMD (beta = 0.007; 95% CI = 0.003, 0.010). …”
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