Status and Development Prospects of Solar-Powered Unmanned Aerial Vehicles—A Literature Review by Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, Róża Łopusiewicz, Marta Łopusiewicz

“…As a result, they have attracted considerable attention in a variety of military and civil applications, including surveillance, environmental monitoring, agriculture, communications, weather monitoring, and fire detection. This review presents selected aspects of the development and use of solar-powered aircraft. …”
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Research Progress of Dangerous Driving Behavior Recognition Methods Based on Deep Learning by Junjian Hou, Bingyu Zhang, Yudong Zhong, Wenbin He

“…The precision of physiological detection depends on the quality of the equipment. …”
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A new journey of fluorescent carbon dots: A shining star in the realm of nucleic acid dyes by Yu Ma, Bin Zhao, Guozhen Yan, Ting Zhou, Zhihua Xu, Zhihan Niu, Zhenghong Xu, Tongtong Zhang, Feng Shi

“…Carbon dots-based nucleic acid dyes, with their low cost, simple synthesis process and high stability, have opened a new path for the field of nucleic acid detection. …”
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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…However, the assessment of acute respiratory distress (ARD) is still conducted through intermittent visual examination. This process is subjective, labor-intensive, and prone to human error, making it unsuitable for continuous monitoring and early detection of deterioration. …”
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Polymer-Based Chemicapacitive Hybrid Sensor Array for Improved Selectivity in e-Nose Systems by Pavithra Munirathinam, Mohd Farhan Arshi, Haleh Nazemi, Gian Carlo Antony Raj, Arezoo Emadi

“…Detecting volatile organic compounds (VOCs) is essential for health, environmental protection, and industrial safety. …”
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Real-Time Common Rust Maize Leaf Disease Severity Identification and Pesticide Dose Recommendation Using Deep Neural Network by Zemzem Mohammed Megersa, Abebe Belay Adege, Faizur Rashid

“…To address these challenges, we propose a real-time deep-learning model that provides disease detection and pesticide dosage recommendations. In the model development process, we collected 5000 maize leaf images experimentally, with permission from Haramaya University, and increased the size of the dataset to 8000 through augmentation. …”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

“…Additionally, a hybrid classification approach is introduced, combining Autoencoder (AE) with the Butterfly Optimization Algorithm (BOA) to enhance detection accuracy. To manage and process large datasets effectively, the MapReduce tool is used for efficient data handling. …”
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Uremic syndrome with newly diagnosed HIV infection: reflections on a particular case by Xiaowu Wang, Dong Wu, Tuantuan Li, Yong Gao

“…Conclusions: This case underscores the importance of actively exploring various detection strategies to enhance the efficiency of detecting acute phase HIV infection during the testing process. …”
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Discriminative spatial localisation in confocal reflectance and carbon dots-based fluorescence imaging using mixed-mode endoscopic scanner by Yang Sing Leong, Mohd Hadri Hafiz Mokhtar, Nur Afifah Ahmad Nazri, Mohd Hafiz Abu Bakar, Mohd Saiful Dzulkefly Zan, Norhana Arsad, Peer Mohamed Abdul, Ahmad Ashrif A. Bakar

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Comparison of the Cognitive Skills of Adolescent Basketball Players and Sedentary Adolescents by Egemen Mancı, Fırat Özdalyan, Sercin Kosova, Hikmet Gümüş, Celal Gençoğlu

“…Athletes are continuously exposed to a cognitive process during a practice or a game, and furthermore, they need to make a decision quickly under stress and pressure. …”
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Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems by Natalya Denissova, Serik Nurakynov, Olga Petrova, Daniker Chepashev, Gulzhan Daumova, Alena Yelisseyeva

“…The analysis involved screening relevant studies on remote sensing, avalanche dynamics, and data processing techniques. Key data sources included satellite platforms such as Sentinel-1, Sentinel-2, TerraSAR-X, and Landsat-8, combined with machine learning, data fusion, and change detection algorithms to process and interpret the data. …”
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From Waste to Value: Banana-Peel-Derived Adsorbents for Efficient Removal of Polar Compounds from Used Palm Oil by Duangdao Channei, Panatda Jannoey, Punyanuch Thammaacheep, Wilawan Khanitchaidecha, Auppatham Nakaruk

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Determination, Estimation of Dietary Intake and Target Hazard Quotients of Heavy Metals in Wines from the Bosnia and Herzegovina Market by Emina Ramić, Sabina Žero, Mustafa Memić

“…Metal determination was conducted using flame atomic absorption spectrometry (FAAS). Limit of detection values were calculated using two methods for standard solution preparation, utilising distilled water and 10 % ethanol as blanks. …”
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Vacuum Filtration-Coated Silver Electrodes Coupled with Stacked Conductive Multi-Walled Carbon Nanotubes/Mulberry Paper Sensing Layers for a Highly Sensitive and Wide-Range Flexibl... by Guanhai Yan, Dongrui Dang, Sheng Chang, Xuefeng Zhang, Jinhua Zhang, Zhengdong Wang

“…However, effectively expanding the detection range of paper-based sensors with high sensitivities is still a challenge. …”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…In terms of unmanned aircraft harvesting technology, China's rice combine harvester market has tended to stabilize, and the safety of the harvester's autopilot should be further improved in the future. Rice storage and processing quality detection technology mainly utilizes spectral technology and machine vision technology to detect spectra and images, and future research can combine deep learning and multimodal fusion technology to improve the machine vision system's ability and adaptability to recognize the appearance characteristics of rice.…”
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Rapid test for Mycobacterium leprae infection: a practical tool for leprosy by Louise Pierneef, Anouk van Hooij, Danielle de Jong, Gaby Wassenaar, Els Verhard, Elisa Tjon Kon Fat, Nadine Engel, Marufa Khatun, Santosh Soren, Abu Sufian Chowdhury, Colette van Hees, Paul Corstjens, Annemieke Geluk

“…However, since there is no worldwide-implemented standard test for M. leprae infection, detection of infection in asymptomatic individuals remains a major challenge for control programs in endemic areas. …”
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A compression method of educational material for special disciplines of technical University by Konstantin P. Baslyk

“…The construction of educational process on a large-block basis, the construction of educational process advanced basis, methodical and didactical reconstruction of educational material are used.Deductive and inductive ways of presentation of educational material are also used. …”
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Classification of Software Engineering Documents Based on Artificial Immune Systems by Nada Saleem, Rasha Saeed

“…This system was built and programmed in Java language and was implemented under an operating system environment Microsoft Windows7.…”
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Tool Refactoring Otomatis untuk Menangani Lazy Class Code Smell dengan Pendekatan Software Metrics by Umi Sa'adah, Desy Intan Permatasari, Fadilah Fahrul Hardiansyah, Andhik Ampuh Yunanto, Jauari Akhmad Nur Hasim, Irma Wulandari, Muhammad Reza Pahlevi, Dufan Quraish Shihab

“…The input of the tool is the location of a project. The process starts with detecting files and classes in the project. …”
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Local Mean Normalization of Microarray Element Signal Intensities across an Array Surface: Quality Control and Correction of Spatially Systematic Artifacts by Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsne

“…These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. …”
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