Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…However, achieving high accuracy and robustness remains a challenge, particularly when dealing with noisy sensor data from accelerometers and gyroscopes. This paper introduces HARCNN, a novel approach leveraging Convolutional Neural Networks (CNNs) to extract hierarchical spatial and temporal features from raw sensor data, enhancing activity recognition performance. …”
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A human activity recognition model based on deep neural network integrating attention mechanism by Feng Xu, Xuchen Gao, Weigang Wang

“…Experiments using data from 30 participants’ smartphone sensors (acceleration and gyroscope) show that after preprocessing and sampling, the model takes 561-dimensional feature vectors as input. …”
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A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments by Junchi Zhang, Yanning Xian, Xun Zhu, Hongtao Deng

“…In this work, we introduce a UAV path planning model that integrates diverse sensor data through a neural network architecture featuring CNN, LSTM, and an attention mechanism. …”
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Sea-detecting Radar Experiment and Target Feature Data Acquisition for Multisource Observation Dataset of Maritime Targets by Ningbo LIU, Jia LI, Guoqing WANG, Baoxin CHEN, Zheng CAO, Yunlong DONG, Jian GUAN, Xingyu JIANG, Zihao ZHANG, Wei XUE

“…Moreover, an automated data management system was implemented to support data storage, conditional retrieval, and batch export, providing a solid foundation for the automated acquisition, long-term accumulation, and efficient use of maritime target characteristic data. …”
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Snowy Dove: An open-sourcetoolkit for pre- processing of Chinese Gaofen series data. by Debao Yuan, Liuya Zhang, Jiantao Dong, Cheng Fan, Xurui Zhao

“…To handle such large data streams we developed a one-click batch pre-processing toolkit for CHEOS remote sensing data as described in this paper. …”
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Temporal and Modality Awareness-Based Lightweight Residual Network With Attention Mechanism for Human Activity Recognition Using a Lower-Limb Exoskeleton Robot by Chang-Sik Son, Won-Seok Kang

“…In addition, existing models frequently overlook the complementary nature of multimodal sensor signals, focusing primarily on temporal dynamics while underutilizing modality-specific information. …”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

“…This approach addresses the limitations of sensor detection in accurately locating leaks and mitigates the risks associated with manual inspections. …”
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Noninvasive, Multimodal Inflammatory Biomarker Discovery for Systemic Inflammation (NOVA Study): Protocol for a Cross-Sectional Study by Jinjoo Shim, Sinziana Muraru, Rucsandra Dobrota, Elgar Fleisch, Oliver Distler, Filipe Barata

“…Samples will be collected in 2 batches, enabling preliminary analysis of the first batch (patients 1-5 from each group). …”
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Transmission Accuracy Test Bed of Precision Gearbox with Small Modulus Gear by Qiao Yongqiang, Zheng Guoliang, Zhu Zhiyuan, Liu Xin, Chen Chao, Zhang Weiwei, Sun Zhiyang

“…The special transmission accuracy of detection test bed of gearbox is developed for the requirements of high- precision batch produced- gearbox,its mechanical structure has a modular design,which makes the test bed has the characteristics of high precision,easy to install,simple operation. …”
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Design and Demonstration of Radio Frequency Micro Electro-Mechanical System Switches with Meandered Beams for Reduced Actuation Voltage by Girolamo Tagliapietra, Jacopo Iannacci, Flavio Giacomozzi, Leandro Lorenzelli

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Spatial Analysis of Bioclimatic Vulnerability of Kermanshah Facing Heat Wave by Hossein Yavari, Mstafa Karampour, Dariush Yarahmadi

“…The land surface temperature of Kermanshah city was extracted by applying a single channel algorithm on the thermal bands of ،TIRS sensor of the Landsat 8 platform for July 9, 2015. …”
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Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles by Razi Iqbal, Talal Ashraf Butt, M. Omair Shafiq, Manar Wasif Abu Talib, Tariq Umar

“…Internet of Vehicles (IoV) is the evolution of vehicular ad-hoc networks and intelligent transportation systems focused on reaping the benefits of data generated by various sensors within these networks. The IoV is further empowered by a centralized cloud and distributed fog-based infrastructure. …”
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Smart fiber with overprinted patterns to function as chip-like multi-threshold logic switch circuit by Xiaofei Wei, Rui Li, Siwei Xiang, Long Qin, Xinxin Luo, Jie Xue, Xing Fan

“…A smart fiber with high density of >3000 circuit units per meter can be woven with fiber-type sensors to construct a textile-type body-covering network, where each node serves as a computing terminal.…”
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Stimuli-responsive hydrogels, their mass transfer, intermolecular interactions, and applications in biomedical devices by Parker M. Toews, Ashwin Velraj, Jeffrey S. Bates

“…Abstract Hydrogels are versatile materials that can be used in biomedical applications, where their multifunctional capabilities can be leveraged as sensors, actuators, drug delivery devices, and chemomechanically responsive materials. …”
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Robust Received Signal Strength Indicator (RSSI)-Based Multitarget Localization via Gaussian Process Regression by Niclas Fuhrling, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, David Gonzalez G., Osvaldo Gonsa

“…We consider the robust localization, via Gaussian process regression (GPR), of multiple transmitters/targets based on received signal strength indicator (RSSI) data collected by fixed sensors distributed in the environment. For such a scenario and approach, we contribute both with a novel noise robust procedure to train the parameters of the GPR model, which is achieved via a mini-batch stochastic gradient descent (SGD) scheme with gradients given in closed form, and with a pair of corresponding robust marginalization procedures for the estimation of target locations. …”
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Beyond biomedical frontiers: Multidimensional applications of silk and its derived proteins in energy, environment, and agri-food systems by Huanyan Ma, Zhaoyang Wang, Meiliang Pan, Fengyang Hu, Guangdong Sun, Xiuling He

“…Recent breakthroughs in genetic engineering (CRISPR-edited silkworms) and nanocomposite fabrication (carbon nanotube hybrids) are critically analyzed for their roles in overcoming historical limitations in batch consistency and functional integration. The application survey spans (1) flexible electronics utilizing silk’s dielectric tunability for epidermal sensors, (2) biophotonic devices exploiting humidity-responsive optical modulation, (3) environmental technologies for air/water purification, and (4) agricultural innovations through silkworm by-product valorization. …”
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A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox by Jingbo Gai, Junxian Shen, He Wang, Yifan Hu

“…After that the learning rate and the number of batch learning in DBN which have great influence on the training error would be properly selected. …”
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Leveraging a Vision Transformer and Adversarial Unsupervised Domain Adaptation to Generate the NIR Band on Out-of-Domain VHR RGB by Viktoria Kristollari, Vassilia Karathanassi

“…It was shown that MST++ (ViT) produced the most satisfactory out-of-domain NIR predictions and that UDA through a CycleGAN version employing batch normalization managed to significantly enhance the NIR prediction when there was a substantial RGB radiometric domain gap.…”
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Robust Deep Neural Network for Classification of Diseases from Paddy Fields by Karthick Mookkandi, Malaya Kumar Nath

“…The model was fine-tuned by setting the hyperparameters (such as batch size, learning rate, optimizer, epoch, and train and test ratio). …”
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Single‐Cell Membrane Potential Stimulation and Recording by an Electrolyte‐Gated Organic Field‐Effect Transistor by Nicolò Lago, Alessandra Galli, Sarah Tonello, Sara Ruiz‐Molina, Saralea Marino, Stefano Casalini, Marco Buonomo, Simona Pisu, Marta Mas‐Torrent, Giada Giorgi, Morten Gram Pedersen, Mario Bortolozzi, Andrea Cester

“…A specific and thorough analysis of the working mechanisms of EGOFET‐based bio‐sensors is reported, highlighting the importance of the device design and using an appropriate batch of measurements for the recording of the electrical activity of cells.…”
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