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Topic Review
Robot Landing Method on Overhead P[ower Transmission Lines
Hybrid inspection robots have been attracting increasing interest in recent years, and are suitable for inspecting long-distance overhead power transmission lines (OPTLs), combining the advantages of flying robots (e.g., UAVs) and climbing robots (e.g., multiple-arm robots). Due to the complex work conditions (e.g., power line slopes, complex backgrounds, wind interference), landing on OPTL is one of the most difficult challenges faced by hybrid inspection robots.
  • 195
  • 01 Sep 2023
Topic Review
Autonomous Vehicles and Distributed Resources on Logistic Systems
The autonomous vehicle (AV) is one of the emerging technologies of the new age that has the potential to restructure transportation infrastructure. AVs are able to sense their surroundings and move around with control and self-sufficiency. AVs can contribute towards reducing traffic congestion on the roads, improving the quality of life, and achieving the highest levels of traffic safety. Thus, this type of vehicle can be integrated into the logistics industry. Due to the presence of several AVs, selecting a standard and efficient AV for logistics planning is a great challenge. The selection of an AV depends on many conflicting and essential criteria. 
  • 403
  • 31 Aug 2023
Topic Review
Communication Costs in Federated Learning
Federated learning (FL) is an emerging distributed machine learning technique that allows for the distributed training of a single machine learning model across multiple geographically distributed clients.
  • 613
  • 31 Aug 2023
Topic Review
Simulate Gene Expression and Infer Gene Regulatory Networks
The ability to simulate gene expression and infer gene regulatory networks has vast potential applications in various fields, including medicine, agriculture, and environmental science. Machine learning approaches to simulate gene expression and infer gene regulatory networks have gained significant attention as a promising area of research.
  • 371
  • 30 Aug 2023
Topic Review
Smart Boxing Glove “RD α”
Emerging smart devices have gathered increasing popularity within the sports community, presenting a promising avenue for enhancing athletic performance. Among these, the Rise Dynamics Alpha (RD 𝛼) smart gloves exemplify a system designed to quantify boxing techniques. Emerging smart devices have gathered increasing popularity within the sports community, presenting a promising avenue for enhancing athletic performance. Among these, the Rise Dynamics Alpha (RD 𝛼) smart gloves exemplify a system designed to quantify boxing techniques. 
  • 418
  • 30 Aug 2023
Topic Review
CondenseNeXtV2
CondenseNeXtV2 is inspired by and is an improvement over CondenseNeXt convolutional neural network (CNN). The primary goal of CondenseNeXtV2 CNN is to further improve performance and top-1 accuracy of the network. 
  • 200
  • 30 Aug 2023
Topic Review
Federated Learning and Blockchain
The Internet of Things (IoT) compromises multiple devices connected via a network to perform numerous activities. The large amounts of raw user data handled by IoT operations have driven researchers and developers to provide guards against any malicious threats. Blockchain is a technology that can give connected nodes means of security, transparency, and distribution. IoT devices could guarantee data centralization and availability with shared ledger technology. Federated learning (FL) is a new type of decentralized machine learning (DML) where clients collaborate to train a model and share it privately with an aggregator node.
  • 580
  • 30 Aug 2023
Topic Review
NextDet with Attentive Feature Aggregation
NextDet, built upon YOLOv5 object detection framework for efficient monocular sparse-to-dense streaming perception, is specially designed for autonomous vehicles and autonomous rovers using edge devices. NextDet is faster, lighter and can perform both, sparse and dense object detection efficiently.
  • 270
  • 30 Aug 2023
Topic Review
Artificial Intelligence for Facial Emotion Detection in Children
The knowledge of the emotions of children with Down Syndrome (DS) obtained through the analysis of their facial expressions during an assisted therapy with dolphins using Artificial Vision and Deep Convolutional Neural Networks can significantly contribute to the effectiveness of the therapy.  Understanding the emotional responses of DS children during therapy sessions can provide valuable insights into their level of engagement, comfort, and overall well-being. This information can help therapists and caregivers tailor the therapy sessions to meet the specific emotional needs of each child, enhancing their overall experience and potentially improving therapeutic outcomes. 
  • 373
  • 30 Aug 2023
Topic Review
MobDet3
MobDet3, a novel object detection network based on the YOLOv5 framework. By utilizing Attentive Feature Aggregation, MobDet3 provides an improved lightweight solution for object detection in autonomous driving applications. The network is designed to be efficient and effective, even on resource-limited embedded systems such as the NXP BlueBox 2.0.
  • 542
  • 30 Aug 2023
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