Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…For this reason, we choose, in the current part, to classify broadly solution approaches into two major categories which are exact and approximate methods.…”
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Use of ICT to Confront COVID-19 by Yousry Saber El Gamal

“…. , AI techniques, particularly machine learning algorithms, can also be used to correlate the patient’s data parameters with a specific drug’s usage. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…The majority (76%) were recruited from inpatient care, including 19% currently admitted under the Mental Health Act (MHA) [16% had previous admissions (median 2) under the MHA]. …”
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On Convergence Rate of MRetrace by Xingguo Chen, Wangrong Qin, Yu Gong, Shangdong Yang, Wenhao Wang

“…Convergence rate analysis is currently a hot topic. However, the convergence rates of learning algorithms vary, and analyzing the reasons behind this remains an open problem. …”
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Long-time analytic approximation of large stochastic oscillators: Simulation, analysis and inference. by Giorgos Minas, David A Rand

“…In order to analyse large complex stochastic dynamical models such as those studied in systems biology there is currently a great need for both analytical tools and also algorithms for accurate and fast simulation and estimation. …”
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METHODOLOGY AND RESULTS OF THE MAIN TECHNICAL OF PARAMETERS OF THE MANEUVERABLE UNMANNED AERIAL VEHICLE JUSTIFICATION by M. A. Kiselev

“…The greatest challenge lies in creating the algorithms, data sensors, control hardware, communications hardware, etc. necessary for utilization of an unmanned aerial vehicle (UAV). …”
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Exact differential transform method and semi-analytic Chebyshev collocation method for ordinary differential equations by A. S. Mohamed

“…The results of these comparisons demonstrate that the proposed algorithms provide the most accurate solutions when compared to other methods currently available.…”
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An open paradigm dataset for intelligent monitoring of underground drilling operations in coal mines by Pengzhen Zhao, Xichao Wang, Shuainan Yu, Xiangqing Dong, Baojiang Li, Haiyan Wang, Guochu Chen

“…Currently, there is no comprehensive benchmark dataset for coal mine industrial scenarios, limiting the research progress of AI algorithms in this industry. …”
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Computational methods for protein identification from mass spectrometry data. by Leo McHugh, Jonathan W Arthur

“…Here, we undertake a systematic review of the currently available methods and algorithms for interpreting, managing, and analyzing biological data associated with protein identification. …”
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Applying Radom Forest and Support Vector Machine for Land-use Classification in Phu Giao District Vietnam by Trong Dieu Hien Le, Linh Truong Vinh

“… Machine learning algorithms are currently widely used to classify satellite images to create surface maps of the earth. …”
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Comparative Study of CNN Architectures for Brain Tumor Classification Using MRI: Exploring GradCAM for Visualizing CNN Focus by Areli Chinga, Wilden Bendezu, Antonio Angulo

“…This study aims to refine the diagnosis of brain tumors using convolutional neural network algorithms. Currently, diagnostic accuracy is limited, therefore, our approach uses five different CNN architectures to accurately identify and classify affected brain regions, specifically glioma, meningioma, or pituitary tumors. …”
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Prevention of Pneumocystic Pneumonia in Patients with Rheumatic Diseases: Problems and Solutions by B. S. Belov, G. M. Tarasova, D. S. Bukhanova

“…Taking into account the heterogeneous risk data for specific RS and a particular immunosuppressive therapy, the establishment of evidence-based comprehensive guidelines for the prevention of PPn in rheumatology is not currently possible. Some guidelines for practicing physicians, published different collectives, can serve algorithms for the prevention of PPn, which will no doubt be further refined (or processed) the accumulation of new data.…”
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Deep Learning-Based Control of Active Power Filters Using LSTM and GRU Networks for Harmonic and Frequency Estimation by Juan L. Flores-Garrido, Patricio Salmeron, Juan A. Gomez-Galan, Alejandro Perez-Valles

“…Therefore, in this work, a new neural controller is presented for further improvement, using previously trained NNs, without need of adaptive algorithms. The generation of the three-phase APF reference currents is based on LSTM and GRU networks, that extract the full necessary information from currents and voltages, thus avoiding the need of an additional phase synchronization control. …”
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Mathematical and Software for Determining the Error in Solving Metrological Analysis Problems by E. N. Zhdanova, N. V. Romantsova

“…Introduction. Currently, work is underway to create specialized software systems designed for metrological synthesis and analysis. …”
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Thompson Sampling for Non-Stationary Bandit Problems by Han Qi, Fei Guo, Li Zhu

“…To address this, we propose two algorithms, discounted TS and sliding-window TS, designed for sub-Gaussian reward distributions. …”
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Medical Image Encryption Techniques: A Review by zainab alhakak

“…In the majority of hospitals and clinics, doctors currently employ medical images, including brain MRIs, ultrasounds, and X-ray images, to diagnose a variety of severe diseases. …”
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Indicators of carbohydrate metabolism in a patient with dyslipidemia and impaired fasting glycemia receiving pitavastatin: a case report by A. A. Nekrasov, E. S. Timoshchenko, D. V. Cherneva, I. N. Volovatova, T. A. Nekrasova

“…Statins have diabetogenic properties. Pitavastatin is currently considered the only drug in this group that combines high lipid-correcting activity with the absence of a negative effect on carbohydrate metabolism. …”
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Multidisciplinary approach in the differential diagnosis of left ventricular hypertrophy: a case report by M. M. Kudryavtseva, E. V. Ryzhkova, O. V. Kulikova, E. A. Mershina, V. E. Sinitsyn, O. M. Drapkina, R. P. Myasnikov

“…Despite the currently existing diagnostic algorithms for LV hypertrophy, establishing a correct diagnosis can take a long time, and controversial research results can lead to false conclusions. …”
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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

“…In performing such tasks, these frameworks face three challenges: computational inefficiency due to high I/O and communication costs, non-scalability to big data due to memory limit, and limited analytical algorithms because many serial algorithms cannot be implemented in the MapReduce programming model. …”
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Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. by Takuro Matsuta, Ryo Furue

“…In contrast, QA using the D-Wave quantum annealing machine fails to obtain good solutions for some cases owing to hardware limitations; in particular, the highly limited connectivity graph of the machine limits the size of the solvable problems, at least under currently available algorithms. Either expanding the machine's connectivity graph or improving the graph-embedding algorithms would probably be necessary for quantum annealing machines to be usable for oceanic and atmospheric dynamics problems.…”
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