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View article: Improving tissue elastography image quality using multi-position shear wave stimulation and LMS/AHI-based filtering
Improving tissue elastography image quality using multi-position shear wave stimulation and LMS/AHI-based filtering Open
Shear Wave Elastography (SWE) enables non-invasive assessment of tissue stiffness and viscosity, offering high diagnostic value in detecting conditions such as liver cirrhosis and cancers. However, image quality in SWE is often degraded by…
View article: SD-YOLO: A Lightweight and High-Performance Deep Model for Small and Dense Object Detection
SD-YOLO: A Lightweight and High-Performance Deep Model for Small and Dense Object Detection Open
Object detection in remote sensing imagery from unmanned aerial vehicles (UAVs) is crucial yet challenging, demanding efficient algorithms for high accuracy and real-time performance despite complexities like small, dense, and occluded obj…
View article: Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Open
This paper introduces Smooth-Distill, a novel self-distillation framework designed to simultaneously perform human activity recognition (HAR) and sensor placement detection using wearable sensor data. The proposed approach utilizes a unifi…
View article: Non-invasive systems for sleep monitoring: Respiratory rate and sleep posture classification
Non-invasive systems for sleep monitoring: Respiratory rate and sleep posture classification Open
Sleep plays an essential role in human health. Monitoring sleep has increasingly become an important tool for gaining deeper insights into sleep behavior and detecting related health issues. Polysomnography (PSG) in clinical settings is th…
View article: A Cost-Effective Real-Time Human Activity Recognition System Using Supervised Learning Algorithms and Wearable Acceleration Sensors
A Cost-Effective Real-Time Human Activity Recognition System Using Supervised Learning Algorithms and Wearable Acceleration Sensors Open
Human activity recognition (HAR) plays a vital role in health monitoring by providing detailed insights into daily movements. This study aims to enhance HAR by developing a lightweight and efficient machine learning model that balances acc…
View article: Improving complex shear modulus imaging quality through enhanced frequency combination techniques
Improving complex shear modulus imaging quality through enhanced frequency combination techniques Open
This study aims to improve the accuracy of complex shear modulus imaging (CSMI), a technique used to assess the elasticity and viscosity of soft tissues, essential for analyzing tissue structure and detecting tumors. CSMI methods are prima…
View article: Cows' behavior classification using acceleration data: A new, effective, and simple approach
Cows' behavior classification using acceleration data: A new, effective, and simple approach Open
Monitoring and classifying cow behaviors provides valuable support for livestock management. This can be done through sensors attached to the pet. Due to their small size, light weight, and high accuracy, accelerometers are well-suited for…
View article: Human sleep position classification using a lightweight model and acceleration data
Human sleep position classification using a lightweight model and acceleration data Open
This study provides a foundation for a portable system enabling continuous, non-invasive sleep posture monitoring at home. By addressing the needs of GERD patients, the device holds promise for improving sleep quality and supporting positi…
View article: Optimal CNN Model for Obstructive Sleep Apnea Detection using Particle Swarm Optimization
Optimal CNN Model for Obstructive Sleep Apnea Detection using Particle Swarm Optimization Open
Obstructive Sleep Apnea (OSA) is a prevalent sleep disorder with significant health risks. It is characterized by the narrowing of the upper airway during sleep, leading to vibrations in the airway structures and the production of snoring …
View article: Ride Comfort Evaluation of an Motorbike with Random Excitation by a Multi Body Dynamic Model
Ride Comfort Evaluation of an Motorbike with Random Excitation by a Multi Body Dynamic Model Open
An motorbike is designed with full technical specifications regarding size and weight distributed on the front and rear axles of the vehicle. The wheel is connected to the vehicle body frame through a suspension system including linkage, s…
View article: Maximizing Rides Served for Dial-a-Ride on the Uniform Metric
Maximizing Rides Served for Dial-a-Ride on the Uniform Metric Open
We study a variant of the offline Dial-a-Ride problem, where each request has a source and destination and the goal is to maximize the number of requests served within a specified time limit. We investigate this problem for the uniform met…
View article: Resource Allocation in Air Base Station-Enabled Wireless Network: Survey
Resource Allocation in Air Base Station-Enabled Wireless Network: Survey Open
Problem statement. Due to their mobility, flexibility, ease of deployment, and low cost, Autonomous Aerial Vehicle (AAV) play an important role in future wireless networks. However, their pratical implementation faces challenges, including…
View article: 3-D Placement of Aerial Base Stations to Support Terrestrial Network Based on Adaptive Particle Swarm Optimization
3-D Placement of Aerial Base Stations to Support Terrestrial Network Based on Adaptive Particle Swarm Optimization Open
Problem statement. With the increasing load on terrestrial communication networks, it is necessary to implement new solutions to ensure stable and high-quality user service. One of the promising approaches is the use of aerial base station…
View article: Students’ Activeness Measure in Moodle Learning Management System Using Machine Learning
Students’ Activeness Measure in Moodle Learning Management System Using Machine Learning Open
Due to COVID-19, the need for online education has increased worldwide, prompting students to shift from traditional learning methods to online platforms as guided by higher education departments. Higher learning institutes are focused on …
View article: Analysis of a passive frequency mixer with current control by using protective intervals of heterodyne signals
Analysis of a passive frequency mixer with current control by using protective intervals of heterodyne signals Open
A generalized technique for analyzing a current-controlled passive frequency mixer circuit using guard intervals between adjacent heterodyne signal pulses is proposed. The results of calculations and simulations in the Micro-Cap environmen…
View article: Effective Human Activity Recognition through Accelerometer Data
Effective Human Activity Recognition through Accelerometer Data Open
In recent years, the field of Human Activity Recognition (HAR) has emerged as a prominent area of research. A plethora of methodologies have been documented in the literature, all with the objective of identifying and analyzing human activ…
View article: Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint
Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint Open
This work proposes an efficient parallel algorithm for non-monotone submodular maximization under a knapsack constraint problem over the ground set of size $n$. Our algorithm improves the best approximation factor of the existing parallel …
View article: Prompt-Free Conditional Diffusion for Multi-object Image Augmentation
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Open
Diffusion model has underpinned much recent advances of dataset augmentation in various computer vision tasks. However, when involving generating multi-object images as real scenarios, most existing methods either rely entirely on text con…
View article: Probability distributions in Kerala’s rainfall: implications for hydro energy planning
Probability distributions in Kerala’s rainfall: implications for hydro energy planning Open
Heavy rainfall has consistently acted as the primary catalyst for floods, resulting in numerous casualties and significant economic losses globally. Rainfall forecasting is accomplished by analysing existing rainfall data, which is then us…
View article: Frequency-hopping along with Resolution-turning for Fast and Enhanced Reconstruction in Ultrasound Tomography
Frequency-hopping along with Resolution-turning for Fast and Enhanced Reconstruction in Ultrasound Tomography Open
The distorted Born iterative (DBI) method is considered to obtain images with high-contrast and resolution. Besides satisfying the Born approximation condition, the frequency-hopping (FH) technique is necessary to gradually update the soun…
View article: Chaos-based compression sensing on wireless sensor network: enabling a low-power and high-performance system
Chaos-based compression sensing on wireless sensor network: enabling a low-power and high-performance system Open
The energy of sensor nodes in operation mode is primarily consumed by the wireless transceivers. Therefore, reducing the transmitted data can lead to significant energy savings. Compressive sensing is a technique that can reproduce an orig…
View article: Robust Approximation Algorithms for Non-monotone $k$-Submodular Maximization under a Knapsack Constraint
Robust Approximation Algorithms for Non-monotone $k$-Submodular Maximization under a Knapsack Constraint Open
The problem of non-monotone $k$-submodular maximization under a knapsack constraint ($\kSMK$) over the ground set size $n$ has been raised in many applications in machine learning, such as data summarization, information propagation, etc. …
View article: Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint Open
This work, for the first time, introduces two constant factor approximation algorithms with linear query complexity for non-monotone submodular maximization over a ground set of size n subject to a knapsack constraint, DLA and RLA. DLA is …
View article: Interpolation synthesis of thecontrollers for a multi-motorelectric drive system containingan elastically linked element
Interpolation synthesis of thecontrollers for a multi-motorelectric drive system containingan elastically linked element Open
Partial differential equations, integral, differential, or other equations describe multi-motor automatic electric drive systems containing elastic conveyor belts. Because of the elastic and distributive nature of the system parameters, th…