Mitigation of Corruption by Implementing e-Government Using Soft Computing by Shareef M. Shareef

“…This research aims to identify the factors that affect success in reducing the level of corruption in e-government, and then evaluate these factors by developing a model that determines the effective factors that impact the mitigation of corruption. We believe that a soft computing-fuzzy logic algorithm is an appropriate method for evaluating and determining the effective factors, and hence might lead to a feasible way to the success of e-government. …”
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Driving torque model of the bionic soft arm’s hyperelastic bellows by Samuel Pilch, Daniel Klug, Oliver Sawodny

“…Soft continuum robots can be driven pneumatically by bellows as the soft continuum manipulator presented in this article. …”
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Chest Soft Tissue Schwannoma: a Difficult Case of Diagnosis by M. V. Perevedentsev, E. A. Podolskaya, N. S. Vorotyntseva, E. N. Kretova

“…The publication can help radiologists, ultrasound diagnosticians, morphologists, oncologists, surgeons to accumulate clinical experience for choosing optimal diagnostic methods and developing an algorithm for patient management.…”
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Post-traumatic posterior heel soft tissue defect reconstruction by M P Suri, A G Patel, H J Vora, S C Raibagkar, D R Mehta, U H Vyas

“…We present a simple algorithm for management of post-traumatic posterior heel defect. …”
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A fuzzy soft planar graph with application in image segmentation by Waheed Ahmad Khan, Arsh E. Mah Niaz, Trung Tuan Nguyen, Minh Hoan Pham, Thi Minh Ngoc Tong, Hai Van Pham

“…In this context, we propose a model supported by an algorithm for converting a traditional crisp image of the Asakusa Tokyo Pyramid into a fuzzy soft image pyramid. …”
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A Stochastic-Variational Model for Soft Mumford-Shah Segmentation by Jianhong (Jackie) Shen

“…In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte Carlo or other stochastic algorithms. In combination, the two can lead to much more powerful novel models and efficient algorithms. …”
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Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

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A novel soft gripper for baby broccoli robotic harvesting by Rizan Mohamed, Gayan Kahandawa Appuhamillage, Joarder Kamruzzaman, Alexandra Keith, Linh Nguyen

“…This paper introduces a novel soft robotic gripper system with real-time force feedback, specifically developed for the autonomous harvesting of baby broccoli, a delicate and labor-intensive crop. …”
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Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting by Mamika Ujianita Romdhini, Faisal Al-Sharqi, R.H. Al-Obaidi, Zahari Md. Rodzi

“…Hypersoft sets (HSSs) were initiated as an extension of soft sets (SSs) to address real-life scenarios involving multiple disjoint sets with di erent traits. …”
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Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design by Wei Gao

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The P Balasubramaniam Award-2024 Singapore Orthopaedic Association Annual Scientific Meeting Award: Novel artificial intelligence algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty improves accuracy and surgical duration by Matthew Song Peng Ng, Ryan Wai Keong Loke, Melvin Kian Loong Tan, Yau Hong Ng, Zi Qiang Glen Liau

“…Soft tissue balancing duration was significantly shorter: 1.16 min ± 0.11 with algorithm use vs. 14.5 min ± 8.3 (P < 0.0001). …”
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Adaptive Vision-Based Gait Environment Classification for Soft Ankle Exoskeleton by Gayoung Yang, Jeong Heo, Brian Byunghyun Kang

“…An experimental study evaluated the classification algorithm and soft ankle exosuit performance through three conditions using kinematic analysis and muscle activation measurements. …”
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Energy-Efficient Soft Real-Time Scheduling for Parameter Estimation in WSNs by Senlin Zhang, Zixiang Wang, Meikang Qiu, Meiqin Liu

“…However, this kind of approaches does not take full advantage of the soft real-time property. In this paper, we proposed an energy-efficient scheduling algorithm especially for the soft real-time estimations in WSNs. …”
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Intuition-guided Reinforcement Learning for Soft Tissue Manipulation with Unknown Constraints by Xian He, Shuai Zhang, Jian Chu, Tongyu Jia, Lantao Yu, Bo Ouyang

“…Compared with the SAC algorithm, the proposed framework can markedly increase the robotic soft tissue manipulation ability by automatically adjusting the regulator factors.…”
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Human-in-the-Loop Modeling and Bilateral Skill Transfer Control of Soft Exoskeleton by Jiajun Xu, Kaizhen Huang, Mengcheng Zhao, Jinfu Liu

“…Soft exoskeletons (exosuits) are expected to provide a comfortable wearing experience and compliant assistance compared with traditional rigid exoskeleton robots. …”
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Design and Dimension Optimization of Rigid–Soft Hand Function Rehabilitation Robots by Rui Zhang, Meng Ning, Yuqian Wang, Jun Yang

“…This study develops a rigid–soft coupling rehabilitation robot integrating linkage mechanisms with soft components. …”
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Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation by Daniel von Eschwege, Andries Engelbrecht

“…Particle swarm optimisation (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm. …”
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Development and evaluation of a soft pneumatic muscle for elbow joint rehabilitation by Mostafa Orban, Mostafa Orban, Mostafa Orban, Kai Guo, Kai Guo, Caijun Luo, Caijun Luo, Hongbo Yang, Hongbo Yang, Karim Badr, Karim Badr, Mahmoud Elsamanty, Mahmoud Elsamanty

“…In this study, the design, fabrication and systematic evaluation of a soft pneumatic muscle for elbow rehabilitation are presented. …”
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Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques by Shubham Rana, Salvatore Gerbino, Petronia Carillo

“…The analysis involves preprocessing the image data, calculating the vegetation indices, and applying the MPCM algorithm to perform soft classification, allowing pixels to belong to multiple classes with varying degrees of membership. …”
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A Hybridization of Modified Rough Bipolar Soft Sets and TOPSIS for MCGDM by Saba Ayub, Muhammad Shabir, Rizwan Gul

“…In this technique, we first introduce an aggregated parameter matrix with the help of modified bipolar soft lower and upper matrices to identify the positive and negative ideal solutions. …”
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