The Application of Earth Observation Data to Desert Locust Risk Management: A Literature Review by Gachie Eliud Baraka, Giudo D’Urso, Oscar Rosario Belfiore

“…Moreover, the review recognises great potential in applications of EO tools, products and services for anticipatory action against desert locusts to ensure resource use efficiency and environmental conservation.…”
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Privacy-Preserving Data Sharing in Telehealth Services by Ammar Odeh, Eman Abdelfattah, Walid Salameh

“…Telehealth services, while providing immense benefits in terms of accessibility and efficiency, introduce complex challenges in maintaining data privacy and security. …”
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Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation by I. Yu. Malevich, A. S. Lopatchenko

“…The conducted studies will improve the energy characteristics of ground penetrating radars with continuous LFM radiation by increasing the detection efficiency of shallow and near-surface objects.…”
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Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging. by Erin B Bjørkeli, Knut Johannessen, Jonn Terje Geitung, Anna Karlberg, Live Eikenes, Morteza Esmaeili

“…Given the significant health risks associated with brain tumors, the necessity for early and accurate detection is crucial for effective treatment. While conventional MRI techniques encounter limitations in the rapid and precise spatial evaluation of diffuse gliomas, both accuracy and efficiency are often compromised. …”
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Comparison of Extraction Techniques for Wide Screening of 230 Pesticides in Water by Caterina Cacciatori, Jackie Myers, Giulio Mariani, Hung Vu, Bernd Manfred Gawlik, Vincent Pettigrove

“…The two extraction techniques were compared, among others, for their limits of detection, recovery, extraction, and quantification efficiency of pesticides, as well as spatial and temporal differences in detected compounds. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Recognizing operator expertise becomes instrumental in resource optimization and training efficiency. This study explores a modeling framework for real-time analysis of HAI operator behavior and strategies. …”
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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Secondly, taking unmanned mining truck as the research object, a 3D collision detection method is designed, which can judge the conflict relationship between obstacles and vehicle body in the horizontal and vertical aspects respectively, and according to the structural characteristics of mining truck and road conditions, a parallel crossing strategy is developed to directly cross over obstacles that are not threatening to vehicles, which can effectively improve the passing efficiency of mining truck under the premise of ensuring safety. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Results Participants reported notable gains in diagnostic efficiency and resource allocation, underscoring AI’s potential to reduce turnaround times for routine tests and enhance detection of abnormalities. …”
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An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning by Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang

“…This model was designed to enhance anesthesia management efficiency and disease detection rates. In collaboration with the Department of Anesthesiology at Renji Hospital, which is affiliated with the Shanghai Jiao Tong University School of Medicine, data pertaining to anesthesia were collected from 398 patients, who were undergoing gastrointestinal endoscopy. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. …”
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A lightweight certificateless aggregate signature scheme without pairing for VANETs by Qiuling Yue, Weijian Jiang, Hong Lei

“…Abstract In the secure vehicular ad-hoc networks (VANETs), certificateless aggregate signature schemes(CLAS) have attracted more and more attention because they can efficiently implement message aggregation and authentication without complex certificate management. …”
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Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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Digital Image Copyright Protection and Management Approach—Based on Artificial Intelligence and Blockchain Technology by Jikuan Xu, Jiamin Zhang, Junhan Wang

“…It introduces an originality detection model based on deep learning technology after conducting both off-chain and on-chain detection of unidentified images, providing triple protection for digital image copyright infringement detection and enabling efficient active defense and passive evidence storage. …”
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Rapid Analysis of Heavy Metal Element Adsorption by SCG Based on LIBS Technology by Xie Hairui, You Libing, Fang Xiaodong, Li Leyi, Ding Haokai, Zhou Zhengqi, Zhang Guanyang, Zhang Dongjian

“…Rapid evaluation and real-time detection of adsorption materials are particularly critical in the adsorption treatment of heavy metal wastewater. …”
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Heat stress induces specific methylation, transcriptomic and metabolic pattern in dairy cows and their female progeny by Kathrin Halli, Tong Yin, Christian Koch, Stefan Krebs, Sven König

“…The present study provides extended insights into the complex genetic and physiological mechanisms of HS response in dam and calf groups from different generations, contributing to a deeper understanding of the interplay of prompt and time lagged HS effects between different omics-tiers.…”
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Constitutional risk factors for the development of glaucoma and cataracts in the Europioid population of Russia by V. I. Konenkov, A. V. Shevchenko, V. F. Prokofiev, A. N. Trunov, V. V. Chernykh

“…The frequency of their detection in POAG was high and characterized by the two-digit value of the odds ratio, high values of specificity (99–100%), and high diagnostic coefficient. …”
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NEW APPROACH TOWARDS THE INTEGRAL ASSESSMENT OF CARDIOVASCULAR STATUS IN PATIENTS WITH ARTERIAL HYPERTENSION by Yu. I. Gurfinkel, O. Yu. At’kov, M. L. Sasonko, R. M. Sarimov

“…Based on the assessment of a range of micro- and macrocirculationparameters in AH patients, the integral index of cardiovascular status had beendeveloped.This index satisfactorily reflects the dynamics of micro- and macrocirculation in treatedAH and, therefore, can be used as an indicator of effective antihypertensive therapy.The complex assessment of macro- and microcirculation provides an opportunityfor early AH detection.…”
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Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan by Liping Wang, Haonan Chen, Zhe Li

“…Strong land–ocean interactions and complex terrain have been challenging the accuracy of satellite precipitation products (SPPs). …”
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