Wireless capsule endoscopy (WCE) is an efficient tool to investigate gastrointestinal tract disorders and perform painless imaging of the intestine. Despite that, several concerns make its wide applicability adaptation challenging like efficacy, tolerance, safety, performance. Besides, automatic analysis WCE provided dataset great importance for detecting abnormalities. Imaging patient’s digestive through produces a large that requires substantial amount time special skill set from medical...

Drowsiness when in command of a vehicle leads to decline cognitive performance that affects driver behavior, potentially causing accidents. Drowsiness-related road accidents lead severe trauma, economic consequences, impact on others, physical injury and/or even death. Real-time and accurate drowsiness detection warnings systems are necessary schemes reduce tiredness-related driving accident rates. The research presented here aims at the classification drowsy non-drowsy states based...

Maternal health is an important aspect of women’s during pregnancy, childbirth, and the postpartum period. Specifically, different factors like age, blood disorders, heart rate, etc. can lead to pregnancy complications. Detecting such alleviate risk pregnancy-related This study aims develop artificial neural network-based system for predicting maternal risks using data records. A novel deep network architecture, DT-BiLTCN proposed that uses decision trees, a bidirectional long short-term...

Microbe organisms make up approximately 60% of the earth's living matter and human body is home to millions microbe organisms. Microbes are microbial threats health may lead several diseases in humans like toxoplasmosis malaria. The microbiological disease widespread, with a seroprevalence 3.6-84% sub-Saharan Africa. This necessitates an automated approach for detection. primary objective this study predict body. A novel hybrid microbes classifier (HMC) proposed which based on decision tree...

Regular inspection of railway track health is crucial for maintaining safe and reliable train operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts bolts, burnt wheels, superelevation, misalignment developed on the rails due to non-maintenance, pre-emptive investigations delayed detection, pose a grave danger threats operation transport. The traditional procedure manually inspecting using cart both inefficient prone human error biases. In country like Pakistan...

Cricket has a massive global following and is ranked as the second most popular sport globally, with an estimated 2.5 billion fans. Batting requires quick decisions based on ball speed, trajectory, fielder positions, etc. Recently, computer vision machine learning techniques have gained attention potential tools to predict cricket strokes played by batters. This study presents cutting-edge approach predicting batsman using learning. The analyzes eight strokes: pull, cut, cover drive,...

Video content on the web platform has increased explosively during past decade, thanks to open access Facebook, YouTube, etc. YouTube is second-largest social media nowadays containing more than 37 million channels. revealed at a recent press event that 30,000 new videos per hour and 720,000 day are posted. There need for an advanced deep learning-based approach categorize huge database of videos. This study aims develop artificial intelligence-based analyzes textual information related like...

Emotion recognition gained increasingly prominent attraction from a multitude of fields recently due to their wide use in human-computer interaction interface, therapy, and advanced robotics, etc. Human speech, gestures, facial expressions, physiological signals can be used recognize different emotions. Despite the discriminating properties emotions, first three methods have been regarded as ineffective probability human's voluntary involuntary concealing real emotions not ignored....

The periodic inspection of railroad tracks is very important to find structural and geometrical problems that lead railway accidents. Currently, in Pakistan, rail are inspected by an acoustic-based manual system requires a engineer as domain expert differentiate between different tracks' faults, which cumbersome, laborious, error-prone. This study proposes the use traditional systems with deep learning models increase performance reduce train Two convolutional neural networks (CNN) models,...

Objectives: Mechanical ventilator plays a vital role in saving millions of lives. Patients with COVID-19 symptoms need to survive during the pandemic. Studies have reported that mortality rates rise from 50% 97% those requiring mechanical ventilation COVID-19. The pumping air into patient’s lungs using requires particular pressure. High or low pressure can result life loss as high causes patient lung damage while lower provides insufficient oxygen. Consequently, precise prediction is task...

Cervical cancer remains a significant global public health challenge, affecting over half million women annually, with mortality rate of approximately 60%, especially in resource-limited regions. This study presents an advanced methodology for cervical diagnosis through deep learning techniques. Utilizing publicly available image dataset, the research introduces novel classification framework that integrates Neural Feature Extractor (NFE) based on pre-trained VGG16 architecture and AutoInt...

An indoor positioning system (IPS) is a technology employed to locate objects and people within building scenario using signal processing or other sensory information. Ultra Wide Band (UWB) versatile wireless that can be as an IPS has shown very good performances. UWB used in many scenarios its effectiveness through wall detection along with excellent resolution for person localization one of the best applications Impulse Radio (IR) UWB. The main objective this work propose concept...

Genetic disorders are the result of mutation in deoxyribonucleic acid (DNA) sequence which can be developed or inherited from parents. Such mutations may lead to fatal diseases such as Alzheimer’s, cancer, Hemochromatosis, etc. Recently, use artificial intelligence-based methods has shown superb success prediction and prognosis different diseases. The potential utilized predict genetic at an early stage using genome data for timely treatment. This study focuses on multi-label multi-class...

COPD is a progressive disease that may lead to death if not diagnosed and treated at an early stage. The examination of vital signs such as respiration rate promising approach for the detection COPD. However, simultaneous consideration demographic medical characteristics patients very important better results. objective this research investigate capability UWB radar non-invasive discriminate from healthy subjects. beneficial in pandemics ongoing COVID-19 pandemic, where safe distance between...

Railway track faults may lead to railway accidents and cause human financial loss. Spatial, temporal, weather elements, wear tear, ballast, loose nuts, misalignment, cracks leading accidents. Manual inspection of such defects is time-consuming prone errors. Automatic provides a fast, reliable, unbiased solution. However, highly accurate fault detection challenging due the lack public datasets, noisy data, inefficient models, etc. To obtain better performance, this study presents novel...

This paper describes an experimental demonstration of machine learning (ML) techniques supplementing radar to distinguish and detect vital signs users in a domestic environment.This work augments intelligent location awareness system previously proposed by the authors.That research employed Ultra-Wide Band (UWB) complemented supervised remotely identify persons room via floor plan training time stamp correlations.Here, remote breathing heartbeat signals are analyzed through Short Term...

Rail is one of the most energy efficient and economical modes transportation amongst many. Regular inspection railway track health essential for ensuring robust secure train operations. Investigations delayed discovery pose a serious risk to safe functioning rail transportation. The traditional method manually examining using cart both inefficient susceptible mistakes bias. It imperative automate in order avert catastrophes save countless lives particularly zones where accidents are...

The perception and recognition of objects around us empower environmental interaction. Harnessing the brain's signals to achieve this objective has consistently posed difficulties. Researchers are exploring whether poor accuracy in field is a result design temporal stimulation (block versus rapid event) or inherent complexity electroencephalogram (EEG) signals. Decoding perceptive signal responses subjects become increasingly complex due high noise levels nature brain activities. EEG have...

Chronic obstructive pulmonary disease (COPD) is a severe and chronic ailment that currently ranked as the third most common cause of mortality across globe. COPD patients often experience debilitating symptoms such coughing, shortness breath, fatigue. Sadly, frequently goes undiagnosed until it too late, leaving without care they desperately need. So, detection at an early stage crucial to prevent further damage lungs improve quality life. Traditional methods rely on physical examinations...