Advancements in integral inequalities of Ostrowski type via modified Atangana-Baleanu fractional integral operator.

Convexity and fractional integral operators are closely related due to their fascinating properties in the mathematical sciences. In this article, we first establish an identity for the modified Atangana-Baleanu (MAB) fractional integral operators. Using this identity, we then apply Jensen integral inequality, Young's inequality, power-mean inequality, and Hölder inequality to prove several new generalizations of Ostrowski type inequality for the convexity of .

Visualizing Plant Disease Distribution and Evaluating Model Performance for Deep Learning Classification with YOLOv8.

This paper presents a novel methodology for plant disease detection using YOLOv8 (You Only Look Once version 8), a state-of-the-art object detection model designed for real-time image classification and recognition tasks. The proposed approach involves training a custom YOLOv8 model to detect and classify various plant conditions accurately. The model was evaluated using a testing subset to measure its performance in detecting different plant diseases.

Wheelchair users function and satisfaction with modified wheelchair and intermediate wheelchair services in Pakistan.

Wheelchair users with poor trunk control and postural abnormalities require additional posture support devices and wheelchair modifications to sit upright. Therefore, this study was conducted to observe the function of wheelchair users in the modified wheelchair and their satisfaction with both the modified wheelchair and intermediate wheelchair service. A descriptive study was conducted, and 14 participants were recruited through consecutive sampling.

Automatic detection, classification, and segmentation of sagittal MR images for diagnosing prolapsed lumbar intervertebral disc.

Magnetic resonance (MR) images are commonly used to diagnose prolapsed lumbar intervertebral disc (PLID). However, for a computer-aided diagnostic (CAD) system, distinguishing between pathological abnormalities of PLID in MR images is a challenging and intricate task. Here, we propose a comprehensive model for the automatic detection and cropping of regions of interest (ROI) from sagittal MR images using the YOLOv8 framework to solve this challenge.