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A Simple Resha** Method of sEMG Training Data for Faster Convergence in CNN-Based HAR Applications
Convolutional neural networks (CNNs) have demonstrated excellent image recognition performance. CNNs have also been successfully extended to human...
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Faster Fixed-Time Attitude Stabilization Control
Applying the finite-time attitude controllers, the settling time cannot be precisely estimated. Some conditions should be imposed on states to obtain...
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A faster dynamic convergency approach for self-organizing maps
This paper proposes a novel variable learning rate to address two main challenges of the conventional Self-Organizing Maps (SOM) termed VLRSOM: high...
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An Efficient Image Forgery and Region Detection Using LogDIoU-Faster RCNN
In different scientific and security or surveillance applications, the identification of content-altering manipulation from a video or an image has...
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Convergence of 6G and Wi-Fi Networks
Before the 3G era, research on the convergence of cellular networks and WLAN had withered due to the lack of need and slow data rates, but since the...
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Configuration and Force-field Aware Variable Impedance Control with Faster Re-learning
Variable impedance control (VIC) is rapidly becoming an important ingredient for robotic manipulation in unstructured and uncertain environments. In...
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Enhancing Convergence Speed in Control of Synchronous Motors Using Model Predictive Control–MPC with Reference Model
This research paper proposes the application of Model Predictive Control (MPC) with a reference model for achieving faster convergence in the control...
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Convergence analysis of butterfly optimization algorithm
Convergence analysis of any random search algorithm helps to verify whether and how quickly the algorithm guarantees convergence to the point of...
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Improving faster R-CNN generalization for intestinal parasite detection using cycle-GAN based data augmentation
Intestinal parasites pose a widespread challenge in underdeveloped and develo** countries, afflicting millions of individuals. Traditional, manual...
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Faster Convergence Rate of Sampled-Data Systems with Artificially Designed Optimal Time Delay Parameter
In this paper, a new scheme to improve the performance of linear sampled-data systems is investigated by considering the time delay as a new control...
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A faster SVM classification technique for remote sensing images using reduced training samples
The support vector machine (SVM) has been used as an efficient tool in data mining tasks during the last 2 decades. It is also used for supervised...
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Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN
Early and precise detection of lung tumor cell is paramount for providing adequate medication and increasing the survivability of the patients. To...
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SAIF-Cnet: self-attention improved faster convolutional neural network for decentralized blockchain-based key management protocol
Internet of Things (IoT) devices are an essential part of several aspects of daily life for people. They are utilized in a variety of contexts,...
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Local stability and convergence factors of nonlinear duopoly games with different types of players
This study examines nonlinear duopoly games in the context of diseconomies of scale. The firms involved exhibit varied levels of rationality and can...
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Faster Robotic Arm Movement Planning via Guided Attenuation Reward Sha**
The expensive learning cost has become a serious problem in robotic arm movement planning using reinforcement learning method. A significant amount...
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Accelerating autonomy: an integrated perception digital platform for next generation self-driving cars using faster R-CNN and DeepLabV3
Building robust perception systems for autonomous vehicles requires addressing multimodal data fusion and large-scale deep network training...
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An Optimal Faster Region-Based Convolutional Neural Network for Oil Adulteration Detection
Natural oils such as avocado oil (AO), corn oil (CO), chamomile oil (CMO), and rapeseed oil (RSO) are used for improving health, skin, and hair care...
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Selection of Heating Lines in the Line Heating Process for Steel Plates Using Faster R−CNN
In the process of surface forming through line heating of a steel plate, accurately determining the position of the heating lines is crucial to...
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Coupled response of sandwich beams on the nonlinear foundation under Galerkin truncation convergence criterion
Coupled vibration response of the beam on nonlinear foundations is of great theoretical significance in the field of engineering. Due to its complex...
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MGBM-YOLO: a Faster Light-Weight Object Detection Model for Robotic Gras** of Bolster Spring Based on Image-Based Visual Servoing
The rapid detection and accurate positioning of bolster spring with complex geometric features in cluttered background is highly important for the...