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...

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...

A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on knee, hip, and ankle. The research employs gait analysis extraction PoseNet features from video data order to effectively identify categorize these disorders. algorithm facilitates key body joint movements positions videos non-invasive user-friendly manner, thereby offering comprehensive representation movements. that are extracted subsequently standardized employed as...

Kernel based fuzzy clustering has been extensively used for pattern sets that have clusters overlap and of different volume. The kernel approach adds additional degree freedom by implicitly mapping input patterns into higher dimensional space known as space. shown to produce improved results over conventional algorithms such C-means (FCM), possibilistic c-means (PCM) (PFCM) not only spherical data but also non sets. However, in the case (KPCM) well PCM, cluster coincidence drawback still...

Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death. The use of artificial intelligence enable effective detection driver drowsiness, helping prevent accidents enhance performance. This research aims address crucial need real-time accurate drowsiness mitigate impact fatigue-related accidents. Leveraging ultra-wideband radar data collected...

Telephysiotherapy has emerged as a vital solution for delivering remote healthcare, particularly in response to global challenges such the COVID-19 pandemic. This study seeks enhance telephysiotherapy by developing system capable of accurately classifying physiotherapeutic exercises using PoseNet, state-of-the-art pose estimation model. A dataset was collected from 49 participants (35 males, 14 females) performing seven distinct exercises, with twelve anatomical landmarks then extracted...

In this paper, an interval type 2 (IT2) fuzzy entropy based approach is used to compute optimum thresholds for multistage gray scale image segmentation. By finding the maximum IT2 of image, are computed. A termination criterion segmentation also proposed on range computed values images. Several experimental results shown demonstrate performance our algorithm which outperforms 1 (T1) methods.

Business collapse is a common event in economies, small and big alike. A firm's health crucial to its stakeholders like creditors, investors, partners, etc. prediction of the upcoming financial crisis significantly important devise appropriate strategies avoid business collapses. Bankruptcy has been regarded as critical topic world accounting finance. Methodologies have investigated research domain for predicting company bankruptcy more promptly accurately. Conventionally, risk solely...

With a specific focus on Eucalyptus camaldulensis, this study explores the chemical makeup and therapeutic uses of various species. Numerous bioactive substances, including tannins, saponins, alkaloids, flavonoids, terpenoids, glycosides, anthraquinones, steroids, have been found in diverse plant components by thorough phytochemical investigations.. camaldulensis essential oil was extracted steam distillation, its constituents—p-cymene, 18-cineole, beta-phellandrene, spathulenol,...

Physiotherapy plays a crucial role in the rehabilitation of damaged or defective organs due to injuries illnesses, often requiring long-term supervision by physiotherapist clinical settings at home. AI-based support systems have been developed enhance precision and effectiveness physiotherapy, particularly during COVID-19 pandemic. These systems, which include game-based tele-rehabilitation monitoring using camera-based optical like Vicon Microsoft Kinect, face challenges such as privacy...

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...

Noisy environments, changes and variations in the volume of speech, non-face-to-face conversations impair user experience with hearing aids. Generally, a aid amplifies sounds so that hearing-impaired person can listen, converse, actively engage daily activities. Presently, there are some sophisticated algorithms available operate on numerous frequency bands to not only amplify but also provide tuning noise filtering minimize background distractions. One those is BioAid assistive system,...

In distributed tracking, communication bandwidth is one of the most expensive resources when we require to send measurements other locations for processing. Furthermore, requirement increases tracking in clutter considered due transmission target as well measurements. This paper describes under constraints. The main idea that instead sending all and combine them into a weighted sum transmit resultant measurement. A novel Bayesian filter proposed utilising received measurement information. We...

Objective: To find out frequency and demographic profile of endocrine disorders in patients admitted endocrinology ward at Services Hospital Lahore. Methods: The cross-sectional study was conducted Lahore Punjab, Pakistan. included 105 Endocrinology Ward. Data used secondary it collected via medical record from June, 2018 to January, 2019. All information pertaining kept confidential. Ethical Review Committee permission undertaken with final approval Head Department. Results: Demographic...

Introduction: An abnormal right ventricular (RV) end-diastolic pressure-volume relationship (EDPVR) is an early marker of poor prognosis in pulmonary arterial hypertension (PAH). Prior studies assessing RV diastolic impairment utilized pressure (P) measured at heart catheterization (RHC) and non-simultaneous volume (V) by cardiac magnetic resonance imaging (cMRI), which serves as the current reference standard for V. Our aims were: (a) to validate a single-beat (SB) method assess EDPVR...