Diabetic Retinopathy (DR) is a prevalent acute stage of diabetes mellitus that causes vision-effecting abnormalities on the retina. This will cause blindness if not identified early. Because DR an irreversible procedure, and only vision preserved via care. Consequently, Early diagnosis care with significantly minimize chance loss. In modern ophthalmology, retinal image analysis has become popular approach to disease diagnosis. The ophthalmologists computerized systems extensively employ...

Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise medical image segmentation improves diagnosis decision-making, aiding intelligent services better disease management recovery. Due to unique nature images, algorithms based on deep learning face problems such as sample imbalance, edge blur, false positives, negatives. In view these problems, researchers primarily improve network structure but rarely from unstructured aspect. The paper tackles...

In this era, there are plenty of wireless devices that being used with the support WI-FI (Wireless Fidelity) and they need to be maintained authorized. Wireless Sensor Networks (WSN), a cornerstone modern technology, offer cost-efficient solutions for diverse monitoring tasks but simultaneously exposed myriad security threats, including unauthorized access, attacks, suspicious activities. These vulnerabilities can significantly degrade performance reliability WSNs, making early detection...

Human body skeleton, acting as a spatiotemporal graph, is increasing attentions of researchers to adopt graph convolutional networks (GCN) mine the discriminative features from skeleton joints. However, one GCN's flaws its inability handle long-distance reliance between In this regard, attention network (GAT) was recently suggested, which combines convolutions with self-attention mechanism extract most informative joint human and increase model accuracy. GAT can compute only static...

Ischemic Cardiovascular diseases are one of the deadliest in world. However, mortality rate can be significantly reduced if we detect disease precisely and effectively. Machine Learning (ML) models offer substantial assistance to individuals requiring early treatment detection realm cardiovascular health. In response this critical need, study developed a robust system predict ischemic accurately using ML-based algorithms. The dataset obtained from Kaggle encompasses comprehensive collection...

Presently, the world is progressing towards notion of smart and secure cities. The automatic recognition human activity among essential landmarks city surveillance projects. Moreover, classifying group behavior detection complex indistinct. Consequently, classification systems reliant on visual data hold expansive utility across a spectrum domains, including but not limited to video surveillance, human-computer interaction, safety infrastructure However, poses significant challenge in...

There is a widespread increase of adoption e-learning platforms, there great need to develop effective methods for assessing students' cognitive abilities deal with that environments. Traditional assessment improve in terms analyzing the diverse range skills and knowledge students acquire during online learning. The current state research work considers different levels Bloom's Taxonomy, which are used evaluate performance based on given text analysis. For this purpose, Software Engineering...

Diabetic Retinopathy (DR) is one of the leading causes blindness and vision loss worldwide. According to International Diabetes Federation (IDF), approximately one-third individuals with diabetes, equivalent 32.2%, are affected by some form DR. Due uneven data distribution, intra-class variance, a dearth ophthalmologists, DR diagnosis considered challenging. In recent years, Convolutional Neural Networks (CNN) supervised learning techniques have been potentially useful in computer...

The exponential increase in textual unstructured digital data creates significant demand for advanced and smart stemming systems. As a preprocessing stage, is applied various research fields such as information retrieval (IR), domain vocabulary analysis, feature reduction many natural language processing (NLP). Text (TS), an important step, can significantly improve performance Text-stemming methods developed till now could be better their results produce errors of different types leading to...

Due to their vast size, the growing number of digital images found in personal archives and on websites has become unmanageable, making it challenging accurately retrieve from these large databases. While collections are popular due convenience, they often not equipped with proper indexing information, difficult for users find what need. One most significant challenges field computer vision multimedia is image annotation, which involves labeling descriptive keywords. However, computers do...

Men's fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing male partner in an infertile couple using a single threshold value to distinguish 'abnormal' 'normal' parameters. In semen process, rA©gime issues might affect morphology, quality, spermatozoa, also reduce risks due food regimen including glycemic content limited intake nutrients. Determination connotation between adjustable morphology is complex task...

In the internet of things (IoT) networks, machine learning (ML) is significantly used for malware and adversary detection. Recently, research has shown that adversarial attacks have put ML-based models at risk. This problem exacerbated in an IoT environment because absence adequate security measures. Consequently, it crucial to evaluate strength such detectors using powerful samples. The existing sample generation strategies either rely on high-level image features or unfiltered feature set,...

In computer vision and artificial intelligence, automatic facial expression-based emotion identification of humans has become a popular research industry problem. Recent demonstrations applications in several fields, ... | Find, read cite all the you need on Tech Science Press

Image enhancement and reconstruction is an important field of research in digital image analysis. To increase the quality low-contrast images, a variety image-enhancing technologies are available. Among these techniques, singular value decomposition discrete wavelet transform popular approaches for enhancing low-quality images. In this study, we have developed modified approach to enhance low-resolution close-circuit television Low-quality images with values near zero used as input proposed...

The rise in stable coronary artery disease (CAD) due to improved survival rates and population growth has increased patient numbers, straining healthcare systems. Machine learning (ML) models are being developed predict identify individual risk factors for early treatment, reducing harm individuals families. These can hospitalizations, enable close monitoring of high-risk patients, optimize medical care. Researchers developing robust based on ML algorithms real-world clinical data aid...

Abstract One of the most popular fruits worldwide is banana. Accurate identification and categorization banana diseases essential for maintaining global security stakeholder profitability. Four different types leaves exist Healthy, Cordana, Sigatoka, Pestalotiopsis. These can be analyzed using four vision: RGB, night vision, infrared thermal vision. This paper presents an intelligent deep augmented learning model composed VGG19 passive aggressive classifier (PAC) to classify bananas under...

This article proposes a new capacitor-based multilevel inverter topology (CBMLI) with fewer devices and reduced voltage stress on capacitors switches. In addition, the proposed can be configured as either 7-level (7L) or 11L circuit maximum gain of 3 2.5 times, respectively. Comparisons are made between existing recent CBMLI topologies, various power loss analyses presented. The capacitance values determined by selecting discharging period, associated analysis is Using simulation software...

Biometric-based authentication systems have attracted more attention than traditional techniques such as passwords in the last two decades. Multiple biometrics fingerprint, palm, iris, palm vein and finger other been introduced. One of challenges is physical injury. Biometric least exposed to damage. Numerous methods proposed for with help this biometric that suffer from weaknesses high computational complexity low identification rate. This paper presents a novel method scattering...

Globally, retinal disorders impact thousands of individuals. Early diagnosis and treatment these anomalies might halt their development prevent many people from developing preventable blindness. Iris spot segmentation is critical due to acquiring iris cellular images that suffer the off-angle iris, noise, specular reflection. Most currently used techniques are based on edge data noncellular images. The size pigment patches surface increases with eye syndrome. In addition, taken in...

Particle swarm optimization (PSO) is an intelligent searching technique for solving complicated and multimodal design optimization's problems. The classical PSO algorithm more flexible efficient because of its ability to solve a diverse range complex real-world issues. Moreover, the primary deficiency this method that it trapped stuck local minima during multimodal, inverse objective function. We introduce crossover mutation vectors in conventional deficiency. differential evolution...

Capsid protein is a pathogenic that needs to be examined because it helps in the virus's proliferation and mutation. Due this protein, virus can replicate reproduce itself. The outer boundary made of capsid protein. analysis prediction are essential. Several approaches, including mass spectrometry, have been developed detect predict However, these methods time-consuming expensive require highly skilled human resources. Therefore, study proposed an efficient robust classification approach for...