TinySurveillance: An Extra Low-Power Event-Based Surveillance Method for UAVs by Arash Farahdel, Alimul H. Khan, Hossein Keshmiri, Khan A. Wahid

“…This article presents an event-driven four-stage video surveillance pipeline with an efficient video transmission algorithm balancing power consumption and image quality. …”
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Classification of Rolling Bearing Defects Based on the Direct Analysis of Phase Currents by Oliwia Frankiewicz, Maciej Skowron, Jeremi Jan Jarosz, Sebastien Weisse, Jerome Valire, Krzysztof Szabat

“…This study compares applications based on mechanical vibration signals and the proposed algorithm based on phase current signals. The results indicate that the proposed approach can be successfully applied to real-world monitoring systems for electrical machinery, offering a high-efficiency diagnostic tool while fulfilling the limitations of demanding measurement systems.…”
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Hierarchical Service Composition via Blockchain-enabled Federated Learning by Li Huang, Lu Zhao, Yansong Liu, Yao Zhao

“…HSC introduces a novel framework, collaborative service selection methods, and a smart selection algorithm, demonstrating remarkable composition efficiency in extensive simulations compared to the baseline approach.…”
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Structure preserving t-SNE of matrix framed data by Soohyun Ahn, Johan Lim, Wei Jiang, Sungim Lee, Xinlei Wang

“…Our approach extends the classical t-SNE algorithm to accommodate matrix-framed data, providing a detailed algorithmic framework for embedding such data into low-dimensional representations. …”
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Robust Sandstorm Image Restoration via Adaptive Color Correction and Saturation Line Prior-Based Dust Removal by Shan Zhou, Fei Shi, Zhenhong Jia, Guoqiang Wang, Jian Huang

“…Enhancing the visibility of outdoor images under sandstorm conditions remains a significant challenge in computer vision due to the complex atmospheric interference caused by dust particles. While existing image enhancement algorithms perform well in mild sandstorm scenarios, they often struggle to produce satisfactory results in more severe conditions, where residual color casts and chromatic artifacts become pronounced. …”
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Research on Parameter Distribution Features of Photovoltaic Array under the Cover and Shadow Shading Conditions by Honglu Zhu, Cao Yu, Lingxing Lu, Weiwei Lian, Jianxi Yao, Yang Hu

“…Shadowing decreases the optimal operating voltage while covering leads to a decrease in the optimal operating voltage and the open-circuit voltage. …”
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Partial Discharge Localization Method Based on UHF Wireless Sensor Array in Air-insulated Substation by Shuai YAN, Pengyu LI, Gaojie WANG, Qiang LI, Fan WU, Lingen LUO

“…Compared to the existing ultra-high frequency (UHF) time-difference-based technique, the proposed method needs only to record the RSSI measurements, while needs not require time synchronization between UHF sensors, which provides a low-cost solution with high adaptability. …”
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Detection of DRFM Deception Jamming Based on Diagonal Integral Bispectrum by Dianxing Sun, Ao Li, Hao Ding, Jifeng Wei

“…The transponder-style deception jamming implemented by Digital Radio Frequency Memory (DRFM) exhibits high similarity to real target radar echoes, while traditional detection methods suffer severe performance degradation under low signal-to-noise ratio (SNR) conditions. …”
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“Ventriculocystocisternostomy Vs ventriculocystostomy in the treatment of suprasellar arachnoid cysts: a retrospective case series study” by Mohamed Mohsen Amen, Ahmed Zaher, Hatem Ibraheem Badr, Amr Farid Khalil, Abdelaziz Abdelhamid Ismail, Mohammad Fekry Elshirbiny, Mohamed M. Elsherbini, Mohamed Farouk

“…Therefore, there is no fixed algorithm for classification, surgical management and evaluation of surgical outcome. …”
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Using 'sentinel' plants to improve early detection of invasive plant pathogens. by Francesca A Lovell-Read, Stephen Parnell, Nik J Cunniffe, Robin N Thompson

“…'Sentinel' plants-alternative susceptible host species that display visible symptoms of infection more rapidly-could be introduced to at-risk populations and included in monitoring programmes to act as early warning beacons for infection. However, while sentinel hosts exhibit faster disease progression and so allow pathogens to be detected earlier, this often comes at a cost: faster disease progression typically promotes earlier onward transmission. …”
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Dynamic Adaptation for Independent Task Scheduling Using Dynamic Programming in Multiprocessor Systems by Lotfi BENDIAF, Ahmed HARBOUCHE, Mohammed Amin TAHRAOUI

“…In this work, we propose DYnamic Task Allocation using dynamic programminG (DyTAg), a task scheduling algorithm based on dynamic programming, designed to support dynamic adaptation in HCS. …”
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Insights from using a Wearable Air Quality Sensor with Solar Energy Harvesting Features by Baguio Angelo Jay, Reyes Ronaldo, De Guzman Jaybie, Rosales Marc, Hizon John Richard

“…To address the limitation of battery life in wearable devices, the system incorporates a battery-aware algorithm and solar energy harvesting, extending operational runtime. …”
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Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model by Jin He, Yinzhen Li, Yuhong Chao

“…Finally, gated recurrent units are introduced to simplify the computational complexity while maintaining high prediction accuracy and training efficiency. …”
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Experimental study on mechanical properties of triaxial geogrid reinforced marine coral sand-clay mixture based on 3D printing technology by Danda Shi, Kaiwei Xu, Zhiming Chao, Zhiming Chao, Peng Cui, Peng Cui

“…Based on the experimental results, a dataset was established, while a novel machine learning model named GP-BPNN was proposed, integrating genetic algorithm (GA), particle swarm optimization (PSO), and backpropagation neural network (BPNN). …”
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Enhancing Multi-Key Fully Homomorphic Encryption with Efficient Key Switching and Batched Multi-Hop Computations by Liang Zhou, Ruwei Huang, Bingbing Wang

“…Our approach eliminates the need for an auxiliary Gentry-Sahai-Waters (GSW)-type scheme, simplifying the design and significantly reducing the public key size. We propose novel algorithms for evaluation key generation and key switching that simplify the computation while allowing each party to independently precompute and share its evaluation keys, thereby reducing both computational overhead and storage costs. …”
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Systematic pan-cancer analysis identified NCOA4 as an immunological and prognostic biomarker and validated in lung adenocarcinoma by An Wang, Yun-ye Mao, Tao Li, Xin Zhou, Yi-bing Bai, Jia-pei Qin, Yi Dong, Ting Wang, Tong Zhang, Zhi-qiang Ma, Yi Hu

“…LUAD samples were stained using immunohistochemistry (IHC). TIDE algorithm was used to predict immune checkpoint blockade (ICB) response within the TCGA-LUAD cohort. …”
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…The accuracy obtained on the unbalanced dataset is 99%, while on the balanced dataset, it is 75%. The precision and recall obtained on the unbalanced dataset in class 0 are 100% and 35%, while in class 1 are 99% and 100%. …”
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Identification of glycolysis-related molecular subtypes and prognostic model in intrahepatic cholangiocarcinoma by Yue Wang, Pengxiang Wang, Hui Liu, Haokang Feng, Muzi Cao, Zefan Zhang, Keqiang Rao, Jia Fan, Xiutao Fu, Yunfan Sun

“…Glycolysis plays a critical role in tumorigenesis, progression, and drug resistance across various malignancies, while the therapeutic implications of targeting glycolysis remain underexplored. …”
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GNSS Precipitable Water Vapor Prediction for Hong Kong Based on ICEEMDAN-SE-LSTM-ARIMA Hybrid Model by Jie Zhao, Xu Lin, Zhengdao Yuan, Nage Du, Xiaolong Cai, Cong Yang, Jun Zhao, Yashi Xu, Lunwei Zhao

“…In the study of GNSS-PWV prediction, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm within a decomposition–integration framework effectively addresses the non-stationarity and complexity of PWV sequences, enhancing prediction accuracy. …”
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Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

“…Geometry, vegetation (NDVI), Pixel Gray Surface Composition (GLCM), and lighting degrees were classified using the Assign class classification algorithm. Then, by matching the extracted map with 130 teaching points, the accuracy of the kappa coefficient was determined. …”
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