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ISSN: 2667-2413

Integrated model for segmentation of glomeruli in kidney images

Kidney diseases, especially those that affect the glomeruli, have become more common worldwide in recent years. Accurate and early detection of glomeruli is critical for accurately diagnosing kidney...

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Small target drone algorithm in low-altitude complex urban scenarios based on ESMS-YOLOv7

The increasing use and militarization of UAV technology presents significant challenges to nations and societies. Notably, there is a deficit in anti- UAV technologies for civilian use, particularly...

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LiPE: Lightweight human pose estimator for mobile applications towards automated pose analysis

Current human pose estimation models adopt heavy backbones and complex feature enhance- ment modules to pursue higher accuracy. However, they ignore the need for model efficiency in real-world applications....

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Zero-shot intelligent fault diagnosis via semantic fusion embedding

Most fault diagnosis studies rely on the man-made data collected in laboratory where the operation conditions are under control and stable. However, they can hardly adapt to the practical conditions...

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DECTNet: A detail enhanced CNN-Transformer network for single-image deraining

Recently, Convolutional Neural Networks (CNN) and Transformers have been widely adopted in image restoration tasks. While CNNs are highly effective at extracting local information, they struggle to...

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Attention-assisted dual-branch interactive face super-resolution network

We propose a deep learning-based Attention-Assisted Dual-Branch Interactive Network (ADBINet) to improve facial super-resolution by addressing key challenges like inadequate feature extraction and poor...

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Hybrid machine learning-based 3-dimensional UAV node localization for UAV-assisted wireless networks

This paper presents a hybrid machine-learning framework for optimizing 3-Dimensional (3D) Unmanned Aerial Vehicles (UAV) node localization and resource distribution in UAV-assisted THz 6G networks to...

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Rehab-Bot: A home-based lower-extremity rehabilitation robot for muscle recovery

This paper presents a proof-of-concept for a lower-extremity rehabilitation device, called Rehab-bot, that would aid patients with lower-limb impairments in continuing their rehabilitation in its required...

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Navigation control of unmanned aerial vehicles in dynamic collaborative indoor environment using probability fuzzy logic approach

The development of drones in various applications makes it essential to address the critical issue of providing collision-free and optimal navigation in uncertain environments. The current research...

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Zero-dynamics attack detection based on data association in feedback pathway

This paper considers the security of non-minimum phase systems, a typical kind of cyber-physical systems. Non-minimum phase systems are characterized by unstable zeros in their transfer functions, making...

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A Transformation Model for Vision-Based Navigation of Agricultural Robots

This paper presents a Top-view Transformation Model (TTM) for a vision-based autonomous navigation of an agricultural mobile robot. The TTM transforms images captured by an onboard camera into a virtual...

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Research on YOLOv3 model compression strategy for UAV deployment

UAVs are often limited by limited resources when performing flight tasks, especially the contradiction between storage resources and computing resources when the huge YOLOv3 model is deployed on the...

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Robot assisted knee joint RoM exercise: A PID parallel compensator architecture through impedance estimation

•τ response by impedance estimation & inner feedback improves system performance.•Tracking error: ±0.02∘ & ±0.14∘ for hold & motion phases of exercise.•Increasing body heights and weights have significant...

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YOLOT: Multi-Scale and Diverse Tire Sidewall Text Region Detection Based on You-Only-Look-Once(YOLOv5)

Driving safety is significant to building a people-oriented and harmonious society, Tires are one of the key components of a vehicle and the character information on the tire sidewall is critical to...

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POMDP-based probabilistic decision making for path planning in wheeled mobile robot

Path Planning in a collaborative mobile robot system has been a research topic for many years. Uncertainty in robot states, actions, and environmental conditions makes finding the optimum path for navigation...

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SRGAN in underwater vision

In recent years, the rapid industrialization of the world has led to an increasing importance of energy minerals. However, due to the scarcity of mineral resources, opportunities to rely on alternative...

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Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network

•Innovative approach: Hilbert curves for efficient data conversion in speech emotion recognition.•Efficient feature extraction: Hilbert curves, neural networks, and reduced costs for deep learning.•Cost...

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Scalable and cohesive swarm control based on reinforcement learning

Unmanned vehicles have seen a significant increase in a wide variety of fields such as for logistics, agriculture and other commercial applications. Controlling swarms of unmanned vehicles is a challenging...

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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method

The Mobile Robot Path Problem looks to find the optimal shortest path from the starting point to the target point with collision-free for a mobile robot. This is a popular issue in robotics and in this...

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An improved single short detection method for smart vision-based water garbage cleaning robot

These days, plastic trash is exponentially overwhelming our waterways. The catastrophe has attracted global attention at this point. As a result, protecting the environment on the water's surface has...

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High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique

The motion cueing algorithm (MCA) enhances the realism of simulator driving experiences by generating vehicle motions within platform limitations. Existing MCAs are typically tuned for worst-case scenarios,...

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Unmanned aerial vehicles advances in object detection and communication security review

Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years, with a wide range of applications in areas such as surveying, delivery, and security. UAV technology plays an important...

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A new paradigm to study social and physical affordances as model-based reinforcement learning

Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances...

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Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration

Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. The Deep Deterministic...

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Emerging trends in human upper extremity rehabilitation robot

Stroke is a leading cause of neurological disorders that result in physical disability, particularly among the elderly. Neurorehabilitation plays a crucial role in helping stroke patients recover from...

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