IEEE

Multi-UAV Path Planning for Plural Data Collection: Distributed Multiagent Deep Reinforcement Learning Algorithms

Abstract: Distributed path planning for multiple unmanned aerial vehicles (UAVs) plays a significant role in data collection systems. However, insufficient collaboration among multiple UAVs and ...

US Air Force awarded 25 million dollar contract to ZAC, the pioneer of Cognitive Explainable-AI, which is the foundation for Autonomous Driving Level-5

Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable Artificial Intelligence (CXAI) software startup, was awarded 25 million dollar sole-source contract from US Air Force. The ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
Morning Overview on MSN

New AI drone finds hidden land mines 10x faster than humans

AI-powered drones are now scanning minefields in Ukraine at a pace that manual survey teams cannot match, with one company ...
IEEE

Integration of Deep Learning and Compressive Sensing Algorithm for Beamspace Channel Estimation in mmWave Massive MIMO Systems

Abstract: In the realm of millimeter wave (mmWave) communication, massive multiple-input-multiple-output (mMIMO) systems have grabbed greater attention due to advancements in the 5G cellular networks.
IEEE

A Survey of Deep Learning-Based Human Pose Estimation: Methods, Datasets, and Evaluation Metrics

Abstract: Human pose estimation has emerged as one of the most prominent research directions in computer vision in recent years. This technology aims to acquire human pose information from images or ...
IEEE

Deep Learning Approaches to Babylonian Numeral Recognition: A CNN-SVM Hybrid Model

Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...
EurekAlert!

Smart monitoring for a greener future: New AI-driven model predicts lithium-ion battery health with unprecedented accuracy

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...
IEEE

Research on Deep Learning-Based Optimization Algorithms for IoT Communication

Abstract: The rapid proliferation of Internet of Things (IoT) devices has brought new challenges in designing efficient, adaptive, and communication-aware optimization strategies under strict resource ...
IEEE

Optimized Electric Vehicle Charging Scheduling Using a Cnn-Lstm Hybrid Deep Learning Model

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...
IEEE

Multiple Targets Assignment Based on Reinforcement Learning Hyper-Heuristic Algorithm of Multi-UAV

Abstract: Aiming at the requirements for high speed and high accuracy in cooperative task assignment for multi-UAV, a reinforcement learning based hyper-heuristic multi-task assignment algorithm is ...