Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

“…In this setting, approximate ground-truth posterior samples can be obtained, enabling principled evaluation of the performance of posterior sampling algorithms. This work also introduces a general framework for diffusion model based posterior sampling, Bayesian Inverse Problem Solvers through Diffusion Annealing (BIPSDA). …”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…Each of these approaches incorporates advanced algorithms and sensor technologies for cluttered orchard environments. …”
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MODERN APPROACHES AND TECHNOLOGIES OF PSYCHOLOGICAL SUPPORT OF FAMILIES OF PARTICIPANTS (VETERANS) OF A SPECIAL MILITARY OPERATION by Roza I. Kadieva, Aizanat R. Davudova

“…To achieve the objectives, a literature analysis was conducted on the topic of psychological support for military families, including foreign studies, as well as a comparative analysis of various support approaches and algorithms. An overview of regulatory documents governing issues of social and psychological support for families of deceased military personnel in Russia and abroad was also carried out. …”
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Biologging intelligent Platform (BiP): an integrated and standardized platform for sharing, visualizing, and analyzing biologging data by Katsufumi Sato, Shinichi Watanabe, Takuji Noda, Takuya Koizumi, Ken Yoda, Yuuki Y. Watanabe, Kentaro Q. Sakamoto, Teijiro Isokawa, Makoto A. Yoshida, Kagari Aoki, Akinori Takahashi, Takashi Iwata, Hideaki Nishizawa, Takuya Maekawa, Ryo Kawabe, Yutaka Watanuki

“…As a result, BiP not only stores sensor data along with metadata but also standardizes this information to facilitate secondary data analysis, facilitating broader applications of biologging data across various disciplines. …”
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Safety assessment of temozolomidee: real-world adverse event analysis from the FAERS database by Yu Liu, Lan Ma, Lan Ma, Xiaojia Fu, Xiaojia Fu, Yi Zhang, Yi Zhang, Jinyu Zheng, Zhongjun Chen

“…Specific detection algorithms also include report Odds ratio (ROR), Proportional Report ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item Gamma-Poisson constrictor (MGPS).ResultsAmong 48,766,547 FAERS reports, 13,608 TMZ-related AEs were identified. …”
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Serum tryptophan-kynurenine metabolites served as biomarkers of disease activity in rheumatoid arthritis and linked to immune imbalance by Ruihe Wu, Baochen Li, Rui Su, Xiaoyang Liu, Anqi Gao, Jing Luo, Chong Gao, Xiaofeng Li, Caihong Wang

“…And the reduced IDO1 was also negatively correlated to the imbalanced Tfh/Tfr cells. …”
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Interrelationships Between Inflammatory Score, Delayed Cerebral Ischemia and Unfavorable Outcome in Patients with aSAH: A Four-Way Decomposition by Zhang P, Zhu H, Li X, Qian Y, Zhu Y, Zhang W, Yan Z, Ni H, Lin Z, Lin X, Li Z, Zhuge Q, Zeng B

“…Peng Zhang,1,2 Haiyang Zhu,1,2 Xinbo Li,1,2 Yiwei Qian,1,2 Yehao Zhu,1,2 Weizhong Zhang,1,2 Zhiyuan Yan,1,2 Haoqi Ni,1,2 Zhongxiao Lin,2,3 Xiao Lin,2,4 Zequn Li,1,2 Qichuan Zhuge,1,2 Bo Zeng1,2 1Department of Neurosurgery, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 2Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 3Department of Thoracic Surgery, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 4Department of Breast Surgery, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, 325035, People’s Republic of ChinaCorrespondence: Bo Zeng, Email 15681992709m@sina.cnBackground: To identify biomarkers and develop an inflammatory score based on proper integration to improve risk prediction of delayed cerebral ischemia (DCI) and poor outcome in patients with aneurysmal subarachnoid hemorrhage (aSAH). We also further explore the mediation and interaction of DCI within the chain of events using the four-way effect decomposition.Methods: Machine learning algorithms are used for biomarker selection and constructed the inflammatory score. …”
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Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…Subsequently, relevant sea ice mapping techniques, including conventional algorithms, machine learning-based approaches and deep learning-based methods, are assessed. …”
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach by Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

“…ObjectiveIn this study, we investigated the feasibility of using acoustic features to predict suicide risk in crisis hotline callers. We also adopted a machine learning approach to analyze the complex acoustic features of hotline callers, with the aim of developing suicide risk prediction models. …”
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Optimal management of the acquiring and evaluating the competencies process of university students by G. A. Dorrer, A. G. Dorrer, G. M. Rudakova

“…The methodology is based on matrix mathematics, so increasing the dimension of the problem does not cause a change of the calculation algorithms.…”
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ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications by A. Bellini, A. Bellini, A. Bellini, H. Diémoz, L. Di Liberto, G. P. Gobbi, A. Bracci, F. Pasqualini, F. Barnaba

“…Specific comparisons of the ALICENET products to independent measurements obtained with different techniques, such as particulate matter (PM) concentrations from in situ samplers and aerosol optical depth (AOD) from sun photometers, are also included here, revealing the good performances of the ALICENET algorithms. …”
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Using Pleiades Satellite Imagery to Monitor Multi-Annual Coastal Dune Morphological Changes by Olivier Burvingt, Bruno Castelle, Vincent Marieu, Bertrand Lubac, Alexandre Nicolae Lerma, Nicolas Robin

“…The differences between DEMs also showed that Pleiades images can be used to monitor multi-annual coastal dune morphological changes. …”
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Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India by Satiprasad Sahoo, Chiranjit Singha, Ajit Govind

“…Finally, machine learning algorithms were used to identify rice yield gaps to achieve sustainable agricultural intensification. …”
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Energy-Aware and Reliability-Based Localization-Free Cooperative Acoustic Wireless Sensor Networks by Junaid Qadir, Ubaid Ullah, Beatriz Sainz-De-Abajo, Begona Garcia Zapirain, Goncalo Marques, Isabel de la Torre Diez

“…In addition, the overall 12.40% improvement is achieved in the packet’s reliability. Also, the EPACA protocol outperforms for packets’ latency and network lifetime.…”
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A Simple and Efficient Way to Save Energy in Multihop Wireless Networks with Flow Aggregation by Alexandre Laube, Dominique Quadri, Steven Martin, Khaldoun Al Agha

“…This way, it becomes possible to integrate this metric into classical shortest path routing algorithms that do not consider interference. We also show that flow aggregation and overall energy consumption are equivalent problems.…”
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Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure by Ching-Yen Chung, Joshua Chynoweth, Chi-Cheng Chu, Rajit Gadh

“…It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. …”
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Control strategy design of 100 W fast response half bridge LLC resonant converter by Rao Gang, Yan Shuai, Jin Bin, Wang Wenjun

“…Based on the traditional-PID control, it′s also adopted fuzzy mathematics and fast scalar multiplication algorithms that can help to improve the fast convergence characteristic of the system. …”
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Research on cryptographic technology of future network information system by Liu Xiaokai, Wang Wendong, Yang Pengfei, Yang Jiangshuai, Meng Xiangbin

“…In the future, network information systems will also face new threats and attack risks while introducing emerging technologies. …”
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Automotive navigation for mobile robots: Comprehensive review by Mayar Abdullah Taleb, Gyula Korsoveczki, Géza Husi

“…This paper will give special attention to algorithms incorporating machine learning and real-time data analysis to manage dynamic obstacles better; also, it will explore the adaptability and scalability of these algorithms in simulated environments of varying complexity and size, preparing them for real-world applicability. …”
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A Robust H.264/AVC Video Watermarking Scheme with Drift Compensation by Xinghao Jiang, Tanfeng Sun, Yue Zhou, Wan Wang, Yun-Qing Shi

“…Drift compensation is also implemented to reduce the influence of watermark to the most extent. …”
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