This paper presents a handwritten document recognition system based on the convolutional neural network technique. In today’s world, is rapidly attaining attention of researchers due to its promising behavior as assisting technology for visually impaired users. also helpful automatic data entry system. proposed prepared dataset English language character images. The has been trained large set sample and tested images user-defined documents. this research, multiple experiments get very worthy...

A Smart City understands the infrastructure, facilities, and schemes open to its citizens. According UN report, at end of 2050, more than half rural population will be moved urban areas. With such an increase, areas face new health, education, Transport, ecological issues. To overcome kinds issues, world is moving towards smart cities. Cities cannot without using Cloud computing platforms, Internet Things (IoT). The has seen incredible brilliant ideas for While considering Ecosystem in...

Arabic language processing works on multiple levels; less often, these complementary levels synergize well with each other. Language Sentiment Analysis (ALSA) consist of phonetics, morphology, syntax, lexicology, semantics, and figurative nature. The analysis opinions feelings is interest in English Indo-European languages, little emphasis the language, which a full rhetorical characteristics implicit meanings that have positive negative connotations across six linguistic levels. This paper...

Artificial intelligence (AI) is expanding its roots in medical diagnostics. Various acute and chronic diseases can be identified accurately at the initial level by using AI methods to prevent progression of health complic... | Find, read cite all research you need on Tech Science Press

The demand for automated online software systems is increasing day by day, which triggered the need high-quality and maintainable softwares at lower cost. Software defect prediction one of crucial tasks quality assurance process improves cost reducing overall testing maintenance efforts. Early detection defects in development life cycle (SDLC) leads to early corrections ultimately timely delivery software, satisfies customer makes him confident towards team. In last decade, many machine...

Cattle identification is pivotal for many reasons. Animal health management, traceability, bread classification, and verification of insurance claims are largely depended on the accurate animals. Conventionally, animals have been identified by various means such as ear tags, tattoos, rumen implants, hot brands. Being non-scientific approaches, these controls can be easily circumvented. The emerging technologies biometric extensively applied Human recognition via thumb impression, face...

Skin diseases in melanin-rich skin often present diagnostic challenges due to the unique characteristics of darker tones, which can lead misdiagnosis or delayed treatment. This disparity impacts millions within diverse communities, highlighting need for accurate, AI-based tools. In this paper, we investigated performance three machine learning methods -Support Vector Machines (SVMs), Random Forest (RF), and Decision Trees (DTs)-combined with state-of-the-art (SOTA) deep models, EfficientNet,...

Hepatitis C is a prevalent disease in the world. Around 3 to 4 million new cases of are reported every year across globe. Effective, timely prediction can help people know about their Stage C. To identify disease, various noninvasive serum biochemical markers and clinical information patients have been used. Machine learning techniques an effective alternative tool for determining this chronic liver prevent biopsy side effects. In study, Intelligent Diagnosis System (IHSDS) empowered with...

Original synthetic content writing is one of the human abilities that algorithms aspire to emulate. The advent sophisticated algorithms, especially based on neural networks has shown promising results in recent times. A watershed moment was witnessed when attention mechanism introduced which paved way for transformers, a new exciting architecture natural language processing. Recent sensations like GPT and BERT text generation rely NLP transformers. Although, BERT-based models are capable...

The abnormality of haemoglobin in the human body is fundamental cause thalassemia disease. Thalassemia considered a common genetic blood condition that has received extensive investigation medical research globally. Likely, inherited disorders will be passed down to children from their parents. If both parents are beta carriers, 25% have intermediate or major thalassemia, which fatal. An efficient method prenatal screening after couples counselling. Identifying carriers involves costly,...

Numerous subsurface factors, including geology and fluid properties, can affect the connectivity of storage spaces in depleted reservoirs; hence, flow simulations become more complicated, predicting their deliverability remains challenging. This paper applies Machine Learning (ML) techniques to predict underground natural gas (UNGS) reservoirs. First, three baseline models were developed based on Support Vector Regression (SVR), Artificial Neural Network (ANN), Random Forest (RF) algorithms....

Diabetes mellitus, generally known as diabetes, is one of the most common diseases worldwide. It a metabolic disease characterized by insulin deficiency, or glucose (blood sugar) levels that exceed 200 mg/dL (11.1 ml/L) for prolonged periods, and may lead to death if left uncontrolled medication injections. categorized into two main types—type 1 type 2—both which feature above "normal," defined 140 mg/dL. triggered malfunction pancreas, releases insulin, natural hormone responsible...

The rapid evolution of neuroimaging techniques underscores the necessity for robust medical image registration algorithms, essential precise analysis resting-state networks. This study introduces a comprehensive modular evaluation framework, designed to assess and compare differences four state-of-the-art algorithms in field: FSL, ANTs, DARTEL, AFNI. Our framework highlights critical importance algorithm selection neuroimaging, addressing unique challenges strengths each presents processing...

Negation and speculation are universal linguistic phenomena that affect the performance of Natural Language Processing (NLP) applications, such as those for opinion mining information retrieval, especially in biomedical data. In this article, we review corpora annotated with negation various natural languages domains. Furthermore, discuss ongoing research into recent rule-based, supervised, transfer learning techniques detection negating speculative content. Many English domains now...

Software defect prediction (SDP) is the process of detecting defect-prone software modules before testing stage. The stage in development life cycle expensive and consumes most resources all stages. SDP can minimize cost stage, which ultimately lead to higher-quality at a lower cost. With this approach, only those classified as defective are tested. Over past two decades, many researchers have proposed methods frameworks improve performance process. main research topics association,...

Heart disease, which is also known as cardiovascular includes various conditions that affect the heart and has been considered a major cause of death over past decades. Accurate timely detection disease single key factor for appropriate investigation, treatment, prescription medication. Emerging technologies such fog, cloud, mobile computing provide substantial support diagnosis prediction fatal diseases diabetes, cancer, disease. Cloud provides cost-efficient infrastructure data processing,...

In the agricultural industry, rice infections have resulted in significant productivity and economic losses. The must be recognized early on to regulate mitigate effects of attacks. Early diagnosis disease severity or incidence can preserve production from quantitative qualitative losses, reduce pesticide use, boost ta country’s economy. Assessing health a plant through its leaves is usually done as manual ocular exercise. this manuscript, three diseases: Bacterial leaf blight, Brown spot,...

The Holy Quran is one of the holy books revealed to prophet Muhammad in form separate verses. These verses were written on tree leaves, stones, and bones during his life; as such, they not arranged or grouped into book until later. There no intelligent system that able distinguish chapters automatically. Accordingly, this study we propose a model can recognize categorize automatically conclusion essential features through classification for first six Surat chapters, based machine learning...

The heart disease is also known as coronary artery disease, many hearts affecting symptoms that are very common nowadays and causes death. It a challenging task to diagnose diseases without any intelligent diagnosing system. Many researchers did research on it developed diagnostic system worked it. prediction of cardiovascular required brief medical history patients, including genetic information. world in acute need for predicting became crucial. Data mining machine learning techniques used...

Recently, the importance of vehicle safety supporting system has been highlighted as autonomous driving and platooning attracted researchers. To ensure safety, each must broadcast a basic message (BSM) every 100 ms. However, stable BSM exchange is difficult because changing environment limited bandwidth vehicular wireless communication. The increasing number vehicles on road increases competition to access networks for exchange; this packet collision rate. An increased rate impairs...

Detection of personality using emotions is a research domain in artificial intelligence. At present, some agents can keep the human's profile for interaction and adapts themselves according to their preferences. However, effective method detect person's by understanding context subject. The idea behind adding cognitive begins an attempt maximize adaptability on basis behavior. In our daily life, humans socially interact with each other analyzing from audio or visual input. This paper...