One of the most expensive and fatal natural disasters in world is forest fires. For this reason, early discovery fires helps minimize mortality harm to ecosystems life. The present research enriches body knowledge by evaluating effectiveness an efficient wildfire smoke detection solution implementing ensembles multiple convolutional neural network architectures tackling two different computer vision tasks a stage format. proposed architecture combines YOLO with weights voting ensemble CNN...

The Kingdom of Saudi Arabia is considered to be one the world leaders in olive production accounting for about 6% global production. Given fact that 94% groves are mainly rain-fed using traditional methods production, annual witnessing a noticeable fluctuation which worse due infectious diseases and climate change. Thus, early effective detection plant both required urgent. Most farmers use methods, example, visual inspection or laboratory examination, identify diseases. Currently, deep...

As tomatoes are the most consumed vegetable in world, production should be increased to fulfill vast demand for this vegetable. Global warming, climate changes, and other significant factors, including pests, badly affect tomato plants cause various diseases that ultimately of Several strategies techniques have been adopted detecting averting such ensure survival plants. Recently, application artificial intelligence (AI) has significantly contributed agronomy detection plant through leaf...

Abstract Computer programming is always of high concern for students in introductory courses. High rates failure occur every semester due to lack adequate skills programming. No student can become a programmer overnight because such learning requires proper guidance as well consistent practice with the exercises. The role instructors development students' crucial order provide feedback on their errors and improve knowledge accordingly. On other hand, large number students, are also...

Electronic learning management systems provide live environments for students and faculty members to connect with their institutional online portals perform educational activities virtually. Although modern technologies proactively support these sessions, students’ active participation remains a challenge that has been discussed in previous research. Additionally, one concern both parents teachers is how accurately measure student performance using different attributes collected during...

Currently, digital transformation has occurred in most countries the world to varying degrees, but digitizing business processes are complex terms of understanding various aspects manual documentation. The use devices and intelligent systems is vital documentation from hardcopy formats. handwritten documents into electronic files one principal digitization represents a common need shared by today’s businesses. Generally, handwriting recognition poses challenge, Arabic recognition,...

In numerous perilous cases, a quick medical decision is needed for the early detection of chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease (CKD) prevalent presents variety challenges, including soaring costs intervention, urgency, and, more importantly, difficulty in disease. The current study carries out prediction-based method helps detecting and diagnosing CKD patients which enables fast accurate decision-making process at stage. A combination...

Colorectal cancer (CRC) is the third most common cause of cancer-related deaths in United States and anticipated to another 52,580 2023. The standard medical procedure for screening treating colorectal disease a colonoscopy. By effectively examining colonoscopy identify precancerous polyps early remove them before they become cancerous, CRC mortality can be lowered significantly. Manual examination detection time-consuming, tedious, prone human error. Automatic segmentation could fast...

Nowadays global market products are readily accessible worldwide, and a vast array of reviews across numerous platforms posted daily in several categories, making it challenging for customers to stay informed about their product interests. To make decisions regarding quality, users require access ratings. Owners managers must analyze customer ratings the underlying emotional content enhance product's cost, service, environmental impact. The primary aim our proposed research is accurately...

Depression constitutes a significant mental health condition, impacting an individual's emotional state, thought processes, and ability to carry out everyday tasks. is defined by ongoing feelings of sadness, diminished interest in previously enjoyed activities, alterations hunger, sleep disturbances, decreased vitality, challenges with focus. The impact depression extends beyond the individual, affecting society at large through productivity higher healthcare costs. In realm social media,...

Diabetes is a chronic disease that can cause several forms of damage to the human body, including heart problems, kidney failure, depression, eye damage, and nerve damage. There are risk factors involved in causing this disease, with some most common being obesity, age, insulin resistance, hypertension. Therefore, early detection these vital helping patients reverse diabetes from stage live healthy lives. Machine learning (ML) useful tool easily detect and, based on findings, provide...

Background The use of artificial intelligence has revolutionized every area life such as business and trade, social electronic media, education learning, manufacturing industries, medicine sciences, other sector. new reforms advanced technologies have enabled data analysts to transmute raw generated by these sectors into meaningful insights for an effective decision-making process. Health care is one the integral where a large amount daily, making decisions based on therefore challenge. In...

Thyroid syndrome, a complex endocrine disorder, involves the dysregulation of thyroid gland, impacting vital physiological functions. Common causes include autoimmune disorders, iodine deficiency, and genetic predispositions. The effects syndrome extend beyond itself, affecting metabolism, energy levels, overall well-being. is associated with severe cases dysfunction, highlighting potentially life-threatening consequences untreated or inadequately managed disorders. This research aims to...

Assessment of students in computer programming is a challenge for instructors, especially at the introductory level, where number student enrollment typically high. Therefore, this study presents novel approach to assessing students' competency using Bloom's taxonomy. The novelty presented based on some rules that quantify attained competencies with respect cognitive levels Unlike previous studies, which were used as scale making questions while assessment was manually performed, study,...

Alzheimer's disease (AD) is a chronic and common form of dementia that mainly affects elderly individuals. The dangerous because it causes damage to brain cells tissues before the symptoms appear, there no medicinal or surgical treatment available yet for AD. AD loss memory functionality control in multiple degrees according AD's progression level. However, early diagnosis can hinder its progression. Brain imaging tools such as magnetic resonance (MRI), computed tomography (CT) scans,...

Fintech is an industry that uses technology to enhance and automate financial services. firms use software, mobile apps, digital technologies provide services are faster, more efficient, accessible than those provided by traditional banks institutions. companies take care of processes such as lending, payment processing, personal finance, insurance, among other A data breach refers a security liability when unapproved individuals gain access or pilfer susceptible data. Data breaches pose...

The proposal of the paper is based on data mining effects using ERP framework.Using database we applied applications to evaluate best result for growth and establishment a company.In this proposed model which integrates database, customer queries, transactions, all other specifications used in systems, then use techniques integrate decision making forecast flows.By ERP's characteristics background gathered from central cluster format action taken against queries generated by...

Information and communication technology (ICT) projects for organizational development deal with market challenges, information handling, the integration of multiple systems (IS) in an organization. This research investigates how ICT (IS systems, etc.) affect strategic, social, human Previous studies have highlighted advantages portfolio management techniques return on investment approaches; current focused primarily measuring business value perspective. Therefore, based findings from...

In this work, we considered the problem of anomaly detection in next-generation cyber-physical systems (NG-CPS). For this, used a double deep Q-network-enabled framework, where an agent was trained to detect anomalies traffic that does not match behavior legitimate at end side. Furthermore, proposed paradigm recognizes known and unknown by directly engaging with simulation environment. Given that, it progressively develops its interpretation encompass new, previously unrecognized classes...

Analysis on customer relationship is reaching more practical and motivating success factor for the growth of every company, in same way, discovery unseen information also supporting successful expansion an organization. A a company are essential to each other their good understanding will take top as well satisfactory level. In this paper we presented model management (CRM) describe association with enhanced by connection data mining engine (DME) evaluation query or employee, support CRM....

Evaluating the performance of any organization is an essential part for overcoming their weaknesses. Customer always on prior finding and assessing company's performance. They are respectable every organization. In this paper we first examine Relationship Management (CRM), especially customer behaviour profiling. Then describe general overview most common data mining techniques. The main purpose how techniques can extract knowledge from large customer's database to analyze improve business...