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

“…The results show that the power consumption of the onboard processing unit in detection mode reduces by at least 4 times; during the surveillance mode, the data transmission rate can be decreased by almost 66% while achieving a competent image quality PSNRAvg of 41.35 dB, PSNR of 30.94 dB, and output frame rate of 5.2.…”
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The impact of urbanization on land use land cover change using geographic information system and remote sensing: a case of Mizan Aman City Southwest Ethiopia by Addis Bikis, Muluye Engdaw, Digvijay Pandey, Binay Kumar Pandey

“…Urban settlement were increased at alarming rate due to land demand for housing, infrastructure and manufacturing. …”
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NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration by Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Elvira Brattico, Domenico Lofu, Danilo Danese, Eugenio Di Sciascio, Tommaso Di Noia, Fedelucio Narducci

“…We develop a comprehensive preprocessing pipeline and employ machine learning algorithms to translate EEG data into meaningful insights about emotional states. …”
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Detection of surface defects in soybean seeds based on improved Yolov9 by Chuanming Liu, Yifan Shen, Feng Mu, Haixia Long, Anas Bilal, Xia Yu, Qi Dai

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A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

“…Abstract The ash yield resulting from the alteration of inorganic elements during the processes of combustion and gasification of coal stands as a crucial quality indicator for coal. …”
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Invariant Feature Matching in Spacecraft Rendezvous and Docking Optical Imaging Based on Deep Learning by Dongwen Guo, Shuang Wu, Desheng Weng, Chenzhong Gao, Wei Li

“…The number of successfully matched feature points per frame consistently reaches the hundreds, the successful rate remains 100%, and the average processing time is maintained below 0.18 s per frame, an overall performance which far exceeds other methods. …”
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A Bridge Crack Segmentation Algorithm Based on Fuzzy C-Means Clustering and Feature Fusion by Yadong Yao, Yurui Zhang, Zai Liu, Heming Yuan

“…In response to the limitations of traditional image processing algorithms, such as high noise sensitivity and threshold dependency in bridge crack detection, and the extensive labeled data requirements of deep learning methods, this study proposes a novel crack segmentation algorithm based on fuzzy C-means (FCM) clustering and multi-feature fusion. …”
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An Almost-All Digital Proximity Transceiver for Mars Surface Missions by Adrian Tang, Emmanuel Decrossas, Zaid Towfic, Andrew Daniel, Joshua Miller, Carlos Y. Villalpando, Nacer Chahat, Yanghyo Kim

“…All other functions of the transceiver (filtering, up-conversion, down-conversion) are implemented as digital signal processing circuitry. The transceiver highly oversamples the UHF band at a rate of 1280 MS/s allowing additional dynamic range to be obtained with modest bit-depth data converters (10-bit transmit and 7-bit receive). …”
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Alfaxalone Anaesthesia Facilitates Electrophysiological Recordings of Nociceptive Withdrawal Reflexes in Dogs (Canis familiaris). by James Hunt, Jo Murrell, David Knazovicky, John Harris, Sara Kelly, Toby G Knowles, B Duncan X Lascelles

“…Following acepromazine premedication, induction of anaesthesia with 1-2 mg kg-1 alfaxalone, followed by a continuous rate infusion in the range 0.075-0.1 mg kg-1 min-1 produced suitable conditions to enable assessment of spinal nociceptive processing in dogs, without subjecting them to potentially aversive experiences. …”
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Validation of the Virtual Reality Stroop Room: Effects of inhibiting interfering information under time-pressure and task-switching demands by Veronika Ringgold, Luca Abel, Bjoern M. Eskofier, Nicolas Rohleder

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ECG Signal Classification Using Interpretable KAN: Towards Predictive Diagnosis of Arrhythmias by Hongzhen Cui, Shenhui Ning, Shichao Wang, Wei Zhang, Yunfeng Peng

“…Additionally, convergence analysis reveals that the KAN’s training process exhibits a smooth and stable loss decline curve, confirming its robustness under complex data conditions. …”
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Detection of Hijaiyah Letters Handwritten in Early Childhood Using Yolov8 by Hidayatul Mustagfiroh, Aviv Yuniar Rahman, Rangga Pahlevi Putra

“…Prior to training, the images underwent preprocessing steps such as resizing, normalization, and data augmentation techniques like rotation and flipping to enhance the quality and diversity of the training data. …”
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OPTIMIZED FACEBOOK PROPHET FOR MPOX FORECASTING: ENHANCING PREDICTIVE ACCURACY WITH HYPERPARAMETER TUNING by Nur Alamsyah, Venia Restreva Danestiara, Budiman Budiman, Reni Nursyanti, Elia Setiana, Acep Hendra

“…The dataset consists of global MPOX case records collected over time. Data preprocessing includes missing value imputation, normalization, and aggregation. …”
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Evaluation of malnutrition risk screening in hospitalized children with digestive system diseases—a single-center cross-sectional study by Xiaoyu Li, Yu Zou, Jing Zuo, Tian Xu, Huilin Zeng, Ruiju Ou, Dongling Dai

“…SPSS software package (version 23.0) was used for data processing.ResultsA total of 1,200 children aged 1 month to 18 years were included in this study. …”
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Removal of Lead(II) Ions by Adsorption ontoBamboo Dust and Commercial Activated Carbons -A Comparative Study by N. Kannan, T. Veemaraj

“…Studies on the removal of lead(II) ions by adsorption onto indigenously prepared bamboo dust carbon (BDC) and commercial activated carbon (CAC) have been carried out with an aim to obtain data for treating effluents from metal processing and metal finishing industries. …”
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Longitudinal tear detection system for belt conveyor based on deep learning by Zhiqiang YU, Xiangsheng PAN, Wei JIANG

“…Firstly, plan the spatial layout of industrial cameras and line laser emitters to ensure comprehensive and accurate capture of subtle changes on the surface of the conveyor belt; secondly, by introducing efficient image RIO extraction, the data burden in the image processing process is effectively reduced. …”
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A multi-model approach for distance and angle estimation using a custom-designed tag by Emre Erkan

“…In experiments conducted under four different test environments simulating real-world conditions, the system demonstrated high detection accuracy with an average valid measurement rate of 86.72%. Additionally, the MLP model used for distance and angle estimation achieved an R2 score of 0.983 on the test data. …”
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The Incidence of Chickenpox in Penal Institution of the Lipetsk Region by S. V. Provotorova

“…The method of retrospective epidemiological analysis was used. statistical data processing was performed using Microsoft Excel.Results. …”
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Feasibility and psychometric quality of smartphone administered cognitive ecological momentary assessments in women with metastatic breast cancer by Ashley M Henneghan, Emily W Paolillo, Kathleen M Van Dyk, Oscar Y Franco-Rocha, Soyeong Bang, Rebecca Tasker, Tara Kaufmann, Darren Haywood, Nicolas H Hart, Raeanne C Moore

“…Methods Using a prospective design, clinical cognitive and psychosocial assessments (cognitive batteries; patient reported outcomes) were collected at baseline, followed by a 28-day daily EMA protocol that included self-ratings for symptoms and mobile cognitive tests (memory, executive functioning, working memory, processing speed). …”
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Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…Polarimetric decomposition methods are widely used in polarimetric Synthetic Aperture Radar (SAR) data processing for extracting scattering characteristics of targets. …”
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