Abstract The thyroid gland is the crucial organ in human body, secreting two hormones that help to regulate body’s metabolism. Thyroid disease a severe medical complaint could be developed by high Stimulating Hormone (TSH) levels or an infection tissues. Hypothyroidism and hyperthyroidism are critical conditions caused insufficient hormone production excessive production, respectively. Machine learning models can used precisely process data generated from different sectors build model...

Hepatitis is a widespread inflammatory condition of the liver, presenting formidable global health challenge. Accurate and timely detection hepatitis crucial for effective patient management, yet existing methods exhibit limitations that underscore need innovative approaches. Early-stage now possible with recent adoption machine learning deep With this in mind, study investigates use traditional models, specifically classifiers such as logistic regression, support vector machines (SVM),...

Parkinson's disease (PD) is a neurodegenerative disorder responsible for shaking, rigidity, and trouble in walking patients' coordination ability physical stability deteriorate day by day. Bipolar (BD) psychiatric which the reason behind extreme shiftiness mood, frequent mood inversion may reach too high called mania. People with BD have greater chance of developing PD during follow-up period. A lot work has been done to understand key factors these 2 diseases. But molecular functionalities...

Deep learning (DL) has been very successful for classifying images, detecting targets, and segmenting regions in high‐resolution images such as whole slide histopathology images. However, analysis of requires high DL complexity. Several AI optimization techniques have recently proposed that aim at reducing the complexity deep neural networks hence expedite their execution eventually allow use low‐power, low‐cost computing devices with limited computation memory resources. These methods...

Robust handwritten character recognition is a tricky job in the area of image processing. Among all problem mathematical expression one complicated issue computer vision research. Segmentation and classification specific makes task more difficult. In this paper group quadratic equation as well single are considered to recognize make solution for those equation. Horizontal compact projection analysis combined connected component methods used segmentation. For we apply Convolutional Neural...

In optical fiber Communication system dispersion compensation has become one of the major topics importance and research nowadays. This is because any presence might leads to pulse spreading which cause inters symbolic interference (ISI) signal degradation. this paper six different model are considered for compensation. Dispersion (DCF) used design first three models by using its configurations pre-compensation, post-compensation, symmetrical Fiber Bragg Gratings (FBG), uniform FBG, IDCFBG...

Breast cancer is considered the most prevalent among women and may spread to other organs if it not detected treated early. In addition, mammography primary imaging modality widely used for screening diagnosing breast cancer. Recent studies have applied deep learning mammogram-based detection. However, these methods high computational memory requirements. this paper, we propose low-complexity light-weight VGG-16 VGG-19 models that are able detect at an accuracy of 98% a sensitivity 95%....

Abstract Educational institutions nowadays follow different administrative approaches to fulfil departmental tasks. A department of an educational institution has a lot things do and manage for the students teachers. The post notices on bulletin board, keep information about students, record attendance in class, students’ rate results, so on. Most many countries rely paper-based administration, which requires staff man-hours. Therefore, we have proposed Android application management that...

Deep-learning (DL) has been extensively applied in multiple fields such as medicine, space, agriculture and industry. It proven to be able successfully extract unique discriminative features of targets from structured or unstructured data provide useful precise predictions. However, the computational complexity DL remains a burden for realizing approaches on battery-powered resource-constrained mobile, wearable, other Internet-of-Things (IoT) edge devices. In this paper, we present survey...

Asthma is a disease which attacks the lungs and that affects people of all ages. prediction crucial since many individuals already have asthma increasing patients continuous. Machine learning (ML) has been demonstrated to help make judgments predictions based on vast amounts data. Because Android applications are widely available, it will be highly beneficial if they can receive therapy through simple app. In this study, machine approach utilized determine whether or not person affected by...

An enormous number of world populations in current time are unique that sense they have no broad language because the absence their hearing capability. The people with impairment own called Sign Language however it is hard for understanding to general individuals [1]. digits additionally a significant piece gesture based communication. So machine interpreter important permit them speak individuals. For making justifiable individual’s computer vision arrangements notable these days. In this...

Our study proposes a technique to enhance light extraction efficiency of emitting diodes (LEDs) by incorporating various micro-/nanolens arrays (MNLAs) on the substrate layer, which in turn increases external quantum (EQE) LEDs. To simulate LEDs, we utilized finite difference time domain method. achieve white LED, inserted thin layer NiO at interface between n-type ZnO and p-type GaN. The basic n-ZnO/NiO/p-GaN heterojunction-based LED exhibited an EQE 10.99% where effective refractive index...

Abstract The thyroid gland is the key organs in human body, secreting two hormones that help to regulate body's metabolism. Thyroid disease a severe medical complaint could developed by high TSH (Thyroid Stimulating Hormone) levels or an infection tissues. Hypothyroidism and hyperthyroidism are important conditions caused insufficient hormone production excessive production, respectively. Machine learning model can utilize for precise processing of data generated from different sector be...

Prostate cancer (PoC) is currently one of the most frequent cancers in males. Though a lot work has been done on it, biomarkers progression prostate have not fully identified. In this research, we used GSE70466 and GSE104131 for RNA-Seq gene expression datasets to reveal important related pathways cancer. Furthermore, Differentially Expressed Genes (DEGs) were extracted from dataset with R statistical language tools, investigate functional enrichment DEGs, an online repository Enrichr was...

Pneumonia is an infection of the lungs that poses a significant threat to public health. An early diagnosis pneumonia crucial detect possible progression serious lung damage and initiate appropriate antibiotic treatments. Recently, deep learning (DL) has emerged as promising tool for detecting from medical images including chest X-rays. However, due extensive memory requirements, realization DL on limited memory-based edge devices such mobile or Internet Things (IoT) units challenging. In...

This paper proposes a unique method to improve light intensity and efficiency of white organic emitting diodes (OLEDs) by engraving micro lens arrays (MLAs) on the outer face substrate layer. The addition MLAs layer improves external quantum (EQE) OLEDs. basic OLED model achieved an EQE 14.45% for effective refractive index (ERI) 1.86. spherical elliptical (planoconvex planoconcave) were incorporated increase maximum 17.30% was obtained Convex-1 (elliptical planoconvex) MLA engraved where...

Abstract The thyroid gland is the key organs in human body, secreting two hormones that help to regulate body's metabolism. Thyroid disease a severe medical complaint could developed by high TSH (Thyroid Stimulating Hormone) levels or an infection tissues. Hypothyroidism and hyperthyroidism are important conditions caused insufficient hormone production excessive production, respectively. Machine learning model can utilize for precise processing of data generated from different sector be...