TREATMENT FOR ACUTE/SUBACUTE MUSCULOSKELETAL PAIN, BY USING AN ALGORITHM FOR STEPWISE CHOICE OF ANALGESIC DRUGS AND FOR MONITORING THEIR EFFICACY: PRELIMINARY DATA OF THE ANALGESIC... by N. V. Gontarenko, A. V. Tsurgan, A. E. Karateev

“…A meeting of experts was held inMoscowin June 2015 to discuss the possibility of forming an interdisciplinary approach and elaborating a unified MSP treatment algorithm based on the com prehensive pathogenetically justified use of different classes of medicines. …”
Get full text

Scalable <i>O</i>(<i>log</i>₂<i>n</i>) Dynamics Control for Soft Exoskeletons by Julian D. Colorado, Diego Mendez, Andres Gomez-Bautista, John E. Bermeo, Catalina Alvarado-Rojas, Fredy Cuellar

“…In this paper, we address the computational limitations of modeling large-scale articulated systems for soft robotic exoskeletons by integrating a parallel algorithm to compute the exoskeleton’s dynamics equations of motion (EoM), achieving a computation with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>l</mi><mi>o</mi><msub><mi>g</mi><mn>2</mn></msub><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> complexity for the highly articulated <i>n</i> degrees of freedom (DoF) running on <i>p</i> processing cores. …”
Get full text

Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma by Binfeng Liu, Shasha He, Chenbei Li, Zijian Xiong, Zhaoqi Li, Chengyao Feng, Hua Wang, Chao Tu, Zhihong Li

“…Abstract Soft tissue sarcomas (STS) imposes a substantial healthcare burden on society. …”
Get full text

The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

Get full text

Multi-objective optimization analysis of construction management site layout based on improved genetic algorithm by Hui Yin

Get full text

Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions by Jianhui Zhang

Get full text

A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…Experimental validation on a dataset comprising seven pine nut varieties demonstrated that, compared to particle swarm optimization (PSO) and the genetic algorithm (GA), the IBiEO-SP algorithm improved average classification accuracy by 5.7% (<i>p</i> < 0.01, Student’s <i>t</i>-test) under four spectral preprocessing methods (MSC, SNV, SG1, and SG2). …”
Get full text

Joint Optimization Strategy of Task Migration and Power Allocation Based on Soft Actor-Critic in Unmanned Aerial Vehicle-Assisted Internet of Vehicles Environment by Jingpan Bai, Yifan Zhao, Bozhong Yang, Houling Ji, Botao Liu, Yunhao Chen

“…Considering the dynamic nature of the unmanned aerial vehicle-assisted internet of vehicles environment and the continuity of the action space, a soft actor-critic based algorithm for task migration and power allocation is designed. …”
Get full text

VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

Get full text

Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study by Yan Jiang, Canyang Jiang, Bin Shi, You Wu, Shuli Xing, Hao Liang, Jianping Huang, Xiaohong Huang, Li Huang, Lisong Lin

“…The average MRE of the hard tissue landmarks (32/43) was 1.73 mm, while that for soft tissue landmarks (11/43) was 1.84 mm. Conclusions Our proposed algorithm demonstrates a clinically acceptable level of accuracy and robustness for automatic detection of CBCT soft- and hard-tissue landmarks across all types of malformations. …”
Get full text

Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems by Fei Zhou, Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…At a task load of 10, the improved DDPG achieved a latency of 250 ms and energy consumption of 965 J, significantly lower than other algorithms. Ablation experiments further confirm the positive impact of each enhancement, showing that the combination of soft updates and experience replay buffers significantly reduces both latency and energy consumption. …”
Get full text

Genetic Algorithms and Particle Swarm Optimization Mechanisms for Through-Silicon Via (TSV) Noise Coupling by Khaoula Ait Belaid, H. Belahrach, H. Ayad

Get full text

Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

Get full text

Estimation and Optimization of the Hydrostatic Height of Waterway Embankment Using Taguchi-Based Honey Badger Algorithm by Swarnima Subhadarsini, Debabrata Giri, Sudhanshu Das

Get full text

Machine learning-based text mining for cutaneous myiasis and potential value of an accidental maggot therapy for complicated skin and soft tissue infection with sepsis by Zhiyuan Zhou, Chaoran Yu, Danhua Yao, Zhen Wang, Yuhua Huang, Pengfei Wang, Weimin Wang, Yousheng Li

“…Furthermore, the clinical management of two diabetes patients with serious soft tissue infection-associated sepsis was analyzed.ResultsA total of 211 results were retrieved and 50 topics relevant to cutaneous myiasis were determined by the LDA algorithm. …”
Get full text

Optimization of the Operation Rule Curves for Cascade Reservoirs Using the Cuckoo Search Algorithm by Ismail Ara, Mutlu Yasar

“…In this study, the optimal operation rule curves for cascaded reservoirs were obtained by using the cuckoo search algorithm, which is a soft computing method. Both the irrigation and flood control constraints of the Adiguzel and Cindere dams in Denizli (Turkey) were satisfied by utilizing these rule curves, and the total energy production was maximized. …”
Get full text

A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings by Thanh Tung Luu, Duy An Huynh

“…To address these limitations, this study proposes a deep reinforcement learning framework that integrates a ResNet-based autoencoder for latent feature extraction from raw vibration signals with the Soft Actor-Critic (SAC) algorithm for dynamic RUL prediction. …”
Get full text

Optimization of algorithms transferring numeric positional codes for discrete channels with the fluctuation noise by Sergey Gennad'yevich Rassomahin, Oleg Pavlovich Malofey, Aleksandr Olegovich Malofey

“…The algorithm enables the use of non-uniform energy «protection» of numbers by combining bits of «soft» and «hard» decisions in the best reception conditions limit the average power of the transmitter. …”
Get full text

Prognostic algorithm for early diagnosis of subcritical conditions as predictors of sudden cardiac death by A. V. Bykov, P. S. Azarova, S. A. Parkhomenko, A. V. Bykov, A. V. Polyakova, M. V. Alymova, A. V. Vinnikov

“…The basis is to improve the efficiency of predictive algorithms.Material and methods. This pilot, controlled, open-label, randomized, prospective clinical trial included 220 patients at risk of SCD and 150 patients without risk of SCD. …”
Get full text

Research on Digital Image Watermarking Algorithm Based on Scrambling and Singular Value Decomposition by Lei Pei

“…The transmittance of the degraded image is calculated, the transmittance is refined by relying on the soft matting algorithm and guiding filter, the image contrast in the image frequency domain is enhanced, and the results are mapped to the appropriate visual range to optimize the visual brightness of the image. …”
Get full text