Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation by Chang-Jiang Zhang, Mei-Shu Chen, Lei-Ming Ma, Xiao-Qin Lu

Subjects: “…Deep learning…”
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Effect of manila palm (Veitchia merrillii Becc.) on rumen fermentation and microbial population in beef heifers by Tanitpan Pongjongmit, Thitima Norrapoke, Kampanat Phesatcha

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An Electro Breakdown Damage Model for Granite and Simulation of Deep Drilling by High-Voltage Electropulse Boring by Changping Li, Longchen Duan, Songcheng Tan, Victor Chikhotkin, Xiaohui Wang

“…To simulate the heterogeneity of rocks, EPB rock breaking in deep environments is simulated using the two-dimensional Particle Flow Code (PFC2D) program. …”
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Comparison of Spatiotemporal Gait Variables Between Healthy Individuals and Patients with Heel Spur During Walking by Mohamad amin Shahbazi, Ali Jalalvand

“…However, certain spatiotemporal gait parameters (e.g., ipsilateral and contralateral foot-off) seem less affected…”
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An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

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THE WAY OF PRODUCTION OF THE TEETH OF THE CUTTING MECHANISMS OF GRAIN- AND FEED-HARVESTING TECHNIQUE SEGMENTS BY PLASTIC DEFORMING by L. A. Isajevich, D. M. Ivanitskij, V. A. Korol

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Study on Dynamic Characteristics of Deep Siltstone under High Static Stress and Frequent Dynamic Disturbance by Lu-ping Cheng, Chun Wang, Li-zhong Tang, Cheng Wang, Zhu-qiang Xiong, Shi-ming Wei, Yuan Chen, Tao Liu, Yong-heng Wei

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Evaluation of Cross-Coupling Decoupling in Islanded Microgrid Control with Inductor Current Feed-Forward Technique by Sunday Olayanju, Folasade Mojisola Dahunsi, Akinlolu Adediran Ponnle

“…The systematic algebraic elimination method with inductor current feed-forward was employed for decoupling cross-coupling terms in the current and voltage loop controller design. …”
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Critical technologies and geology-engineering integration practices for deep CBM production in the Yanchuannan CBM field by Zhenlong CHEN, Yunhai WANG, Xiao LIU, Bin CUI, Song YANG, Xin LI, Qilong FANG

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A IEEE 802.11e HCCA Scheduler with a Reclaiming Mechanism for Multimedia Applications by Anna Lina Ruscelli, Gabriele Cecchetti

“…The QoS offered by the IEEE 802.11e reference scheduler is satisfactory in the case of Constant Bit Rate traffic streams, but not yet in the case of Variable Bit Rate traffic streams, whose variations stress its scheduling behavior. …”
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Study on the Dynamic Problems of Double-Disk Rotor System Supported by Deep Groove Ball Bearing by Yang Liu, Jiyuan Han, Siyao Zhao, Qingyu Meng, Tuo Shi, Hui Ma

“…Aiming at the analysis of the dynamic characteristics of the rotor system supported by deep groove ball bearings, the dynamic model of the double-disk rotor system supported by deep groove ball bearings was established. …”
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Model Test Study on Overburden Failure and Fracture Evolution Characteristics of Deep Stope with Variable Length by Xinfeng Wang, Youyu Wei, Heyong Yuan, Yiying Zhang, Qiao Zhang, Wengang Liu

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Retracted: Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Journal of Electrical and Computer Engineering

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Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection by Yixian Liu, Yupeng Dai

“…This paper presents a novel deep learning framework that integrates Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM) networks, enhancing the detection of SQL injection attacks. …”
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Enhancing Meat Quality and Nutritional Value in Monogastric Livestock Using Sustainable Novel Feed Ingredients by José A. M. Prates

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The Prevalence of Fatigue Following Deep Brain Stimulation Surgery in Parkinson's Disease and Association with Quality of Life by Benzi M. Kluger, Veronica Parra, Charles Jacobson, Cynthia W. Garvan, Ramon L. Rodriguez, Hubert H. Fernandez, Amanda Fogel, Barry M. Skoblar, Dawn Bowers, Michael S. Okun

“…Fatigue is a common and disabling nonmotor symptom seen in Parkinson’s disease (PD). While deep brain stimulation surgery (DBS) improves motor symptoms, it has also been associated with non-motor side effects. …”
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The Chaotic Property of BTA Deep-Hole Machining System under the Effect of Inner Cutting Fluid by Quanbin Zhang, Wu Zhao, Yamin Li, Shuangxi Jing

“…To clarify the action mechanism of parameter change on system stability, the chaotic property of BTA deep-hole machining system under the effect of inner cutting fluid was analyzed. …”
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Comparison of different GnRH compounds on fertility outcomes in ovulation synchronized and presynchronized beef cows by Nicola Oosthuizen, Lucas M. Goncalves, Samir Burato, Molly S. Smith, Kelsey M. Harvey, Graham Cliff Lamb, Graham Cliff Lamb, Pedro L. P. Fontes

Subjects: “…beef cows…”
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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

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AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

“…In this study, we constructed a substantially extended set of actual positive variants originating from a wide range of tumor purities and sequencing depths, as well as actual negative variants derived from sequencer-specific sequencing errors. A deep learning model named AIVariant, trained on this extended dataset, outperforms previously reported methods when tested under various tumor purities and sequencing depths, especially low tumor purity and sequencing depth.…”
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