Results 91 to 100 of about 229,861 (318)
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms
Waste type classification remains a daily challenge in modern waste management. Proper waste classification contributes significantly to environmental protection and enhances the efficiency of the recycling process.
Ariza Ikhlas, Billy Hendrik
doaj +1 more source
Pneumonia Classification of Thorax Images using Convolutional Neural Networks
The digital image processing technique is a product of computing technology development. Medical image data processing based on a computer is a product of computing technology development that can help a doctor to diagnose and observe a patient.
Mahmud Suyuti, Endang Setyati
doaj +1 more source
IDM based on image classification with CNN
Distributed generation (DG) has seen tremendous growth to meet the needs of ever-increasing energy demand. Most of these distributed sources are renewable in nature and connected at the consumer end.
Santhosh K.G. Manikonda +1 more
doaj +1 more source
Dr David Swann interviewed by CNN International for a special programme series profiling international designers- 90 seconds vignette showcased innovative solutions from around the world. A theme week on CNN International and CNN.com concluded with a
Swann, David
core
Ion beam analysis based on cellular nonlinear networks
The development of a non- destructive measurement method for ion beam parameters has been treated in various projects. Although results are promising, the high complexity of beam dynamics has made it impossible to implement a real time process control up
Ratzinger, Ulrich +7 more
core +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Schematic workflow of proposed GL-CNN-based model.
Schematic workflow of proposed GL-CNN-based model.
Xiao-Jun Zeng (298542) +5 more
core +1 more source
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
3D CAD model classification based on Convolutional Neural Network
Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. In this paper, an automatic 3D CAD model classification approach based on Convolutional Neural Network (CNN) is proposed.
DING Bo, YI Ming
doaj +1 more source

