Obscure Gastrointestinal Bleeding: An Approach to Management by JK Marshall, OA Lesi, RH Hunt

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Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing by Prashanth Choppara, S. Sudheer Mangalampalli

“…This paper presents a novel adaptive scheduling framework based on the DDPG algorithm for task scheduling optimization in fog computing environments. …”
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Wireless sensor network positioning technology based on improved sampling box and fuzzy reasoning by Ningyun Dan, Lun Zhao, Wenjin Pan, Yan Cai

“…The research results indicate that on the UCI and MIT Reality datasets, the Rand coefficient of the fuzzy clustering algorithm optimized for time series is stable at 0.89 when the weight allocation index is 5, which is superior to other comparative algorithms. …”
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REPEATED OPTIMAL CYTOREDUCTIVE SURGERIES IN COMBINED MODALITY TREATMENT OF OVARIAN CANCER. CASE REPORT by S. V. Molchanov, L. A. Kolomiets, O. V. Shpilyeva

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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

“…Despite their success, machine learning methods face fundamental limitations in optimizing complex high-dimensional energy landscapes, which motivates research into new methods to improve the robustness and performance of optimization algorithms. …”
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Unconditional advantage of noisy qudit quantum circuits over biased threshold circuits in constant depth by Michael de Oliveira, Sathyawageeswar Subramanian, Leandro Mendes, Min-Hsiu Hsieh

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A novel smart surveillance approach to strengthen health facility-based disease surveillance in Tanzania by Ms Happy Mkali, MD Alix Miauton, Dr. Alexandra Kulinkina, Ms. Magreth Joram, MD Caroline Enos, Mr. Lazar Pavicevic, Mr. Vincent Faivre, Dr. MD Rainer Tan, Dr. Sabine Renggli, Ms. Theopista Lotto, Mr. Sinamgoda Ngailla, MD Godfrey Kavishe, Mr. Ibrahim Mtebene, Mr. Peter Agrea, MD Lameck Luwanda, Mr Geofrey Ashery, MD Chacha Mangu, Dr. MD Nyanda Ntinginya, Prof. Dr. Honorati Masanja, Prof. Dr. MD Isabella Eckerle, Prof. Dr. MD Valerie D'Acremont

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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…The research optimizes the Speeded-Up Robust Features(SURF) detection algorithm by adjusting the Hessian matrix threshold to enhance sensitivity to low-contrast defects. …”
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Metabolism and Microstructure of the Small Intestine Wall in Patients With Colorectal Cancer by M. V. Bagryantsev, M. G. Ryabkov, E. L. Bederina, M. M. Loginova, A. V. Bazayev, A. I. Abelevich, I. L. Dezortsev, S. S. Bunova, M. V. Shirmanova, V. I. Shcheslavskiy, E. B. Kiseleva

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Autonomous Landing of a Micro Aerial Vehicle on a Moving Platform Using a Composite Landmark by Bo-Yang Xing, Feng Pan, Xiao-Xue Feng, Wei-Xing Li, Qi Gao

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Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century by Arfan Arshad, Muhammad Shafeeque, Thanh Nhan Duc Tran, Ali Mirchi, Zaichen Xiang, Cenlin He, Amir AghaKouchak, Jessica Besnier, Md Masudur Rahman

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Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images by Yanzhao Wang, Yonghua Sun, Xuyue Cao, Yihan Wang, Wangkuan Zhang, Xinglu Cheng, Ruozeng Wang, Jinkun Zong

“…Firstly, a preliminary sample dataset was generated by fusing multiple LC products with the weighted majority voting (WMV) algorithm. Secondly, a locally selective combination in parallel outlier ensembles (LSCP) anomaly detection algorithm was applied to filter abnormal samples. …”
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Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection by Onur Polat, Ali Ayid Ahmad, Saadin Oyucu, Enes Algul, Ferdi Dogan, Ahmet Aksoz

“…This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for detecting anomalies in the network. …”
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Measurement-Based Assessment of Energy Performance and Thermal Comfort in Households Under Non-Controllable Conditions by George M. Stavrakakis, Dimitris Bakirtzis, Dimitrios Tziritas, Panagiotis L. Zervas, Emmanuel Fotakis, Sofia Yfanti, Nikolaos Savvakis, Dimitris A. Katsaprakakis

“…The current research presents a practical approach to assess energy performance and thermal comfort in households through monitoring campaigns. …”
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Development of an Intelligent Method for Target Tracking in Radar Systems at the Initial Stage of Operation Under Intentional Jamming Conditions by Serhii Semenov, Olga Wasiuta, Alla Jammine, Justyna Golec, Magdalena Krupska-Klimczak, Yevhen Tarasenko, Vitalii Voronets, Vitalii Breslavets, Serhii Lvov, Artem Moskalenko

“…The object of this research is the process of tracking air targets at the initial stage of radar system operation. …”
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Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study. by Xueliang Guo, Lin Sun

“…The development of the 3D CNN model utilizes the ADAM optimization algorithm to facilitate the training process. The Bra2020 dataset is utilized to assess the accuracy of the proposed deep learning neural network. …”
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CODC-S: A quality-controlled global ocean salinity profiles dataset by Zhetao Tan, Yujing Zhu, Lijing Cheng, Viktor Gouretski, Yuying Pan, Huifeng Yuan, Zhankun Wang, Guancheng Li, Xinyi Song, Bin Zhang, Senliang Bao, Yuanlong Li, Jiang Zhu

“…By applying time-varying, flow-dependent, and topographical-dependent 0.5% and 99.5% quantile thresholds, the CODC-QC-S defines local climatology salinity ranges without the assumption of Gaussian distribution. …”
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Chemical Composition and Corrosion—Contributions to a Sustainable Use of Geothermal Water by Ioana Maior, Gabriela Elena Badea, Oana Delia Stănășel, Mioara Sebeșan, Anca Cojocaru, Anda Ioana Graţiela Petrehele, Petru Creț, Cristian Felix Blidar

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An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro by David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha

“…At the health-area level, local feature selection generally yielded better model performance compared to city-wide feature selection. …”
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