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Federated quantum long short-term memory (FedQLSTM)
Quantum federated learning (QFL) can facilitate collaborative learning across multiple clients using quantum machine learning (QML) models, while...
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Teledrive: An Embodied AI Based Telepresence System
This article presents ‘Teledrive’, a telepresence robotic system with embodied AI features that empowers an operator to navigate the telerobot in any...
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GreatBlue: a 55-Pound Vertical-Takeoff-and-Landing Fixed-Wing sUAS for Science; Systems, Communication, Simulation, Data Processing, Payloads, Package Delivery, and Mission Flight Performance
As small, uncrewed systems (sUAS) grow in popularity and in number, larger and larger drone aircraft will become more common–up to the FAA limit of...
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Privacy’s Sky-High Battle: The Use of Unmanned Aircraft Systems for Law Enforcement in the European Union
Benefiting from the rapid advancements in Unmanned Aircraft Systems (UAS) technology with enhanced tracking and data collection capabilities, law...
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Stereo-RIVO: Stereo-Robust Indirect Visual Odometry
Mobile robots and autonomous systems rely on advanced guidance modules which often incorporate cameras to enable key functionalities. These modules...
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Depth-Enhanced Deep Learning Approach For Monocular Camera Based 3D Object Detection
Automatic 3D object detection using monocular cameras presents significant challenges in the context of autonomous driving. Precise labeling of 3D...
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A Modified Genetic Algorithm for Combined Heat and Power Economic Dispatch
Combined Heat and Power Economic Dispatch (CHPED) is an important problem in the energy field, and it is beneficial for improving the utilization...
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A novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily...
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Multi-Encoder Spatio-Temporal Feature Fusion Network for Electric Vehicle Charging Load Prediction
Electric vehicles (EVs) have been initiated as a preference for decarbonizing road transport. Accurate charging load prediction is essential for the...
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Integration of Deep Q-Learning with a Grasp Quality Network for Robot Gras** in Cluttered Environments
During the movement of a robotic arm, collisions can easily occur if the arm directly grasps at multiple tightly stacked objects, thereby leading to...
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An Intrusion Detection System on The Internet of Things Using Deep Learning and Multi-objective Enhanced Gorilla Troops Optimizer
In recent years, developed Intrusion Detection Systems (IDSs) perform a vital function in improving security and anomaly detection. The effectiveness...
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Driver profiling using trajectories on arbitrary roads by clustering roads and drivers successively
Driver profiling is a widely used tool in fleet management and driver-specific insurance because it differentiates drivers based on their driving...
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A hybrid machine learning framework for intrusion detection system in smart cities
Smart cities leverage technologies such as Cloud computing, the Internet of Things (IoT), artificial intelligence (AI), and data analytics to collect...
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Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards
Sparse rewards and sample efficiency are open areas of research in the field of reinforcement learning. These problems are especially important when...
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China’s New Pattern of Rule of Law on UAS
China as the world’s prominent market for Unmanned Aircraft Systems (UAS) has just passed a new regulation on UAS. The new regulation is expected to...
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QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution
Quantum neural network (QNN) is a research orientation that combines quantum computing and machine learning. It has the potential to solve the...
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SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN
Recently, new advancements in technologies have promoted the classification of brain tumors at the early stages to reduce mortality and disease...
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An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots
This work presents an evaluation of CNN models and data augmentation to carry out the hierarchical localization of a mobile robot by using...
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Optimally tuned cascaded FOPI-FOPIDN with improved PSO for load frequency control in interconnected power systems with RES
In the operation and control of power systems, load frequency control (LFC) plays a critical role in ensuring the stability and reliability of...
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Towards robust automated math problem solving: a survey of statistical and deep learning approaches
Automated mathematical problem-solving represents a unique intersection of natural language processing (NLP) and mathematical reasoning, posing...
