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...

As corona virus disease (COVID-19) is still an ongoing global outbreak, countries around the world continue to take precautions and measures control spread of pandemic. Because excessive number infected patients resulting deficiency testing kits in hospitals, a rapid, reliable, automatic detection COVID-19 extreme need curb infections. By analyzing chest X-ray images, novel metaheuristic approach proposed based on hybrid dipper throated particle swarm optimizers. The lung region was...

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...

Oral cancer is a deadly form of cancerous tumor that widely spread in low and middle-income countries. An early affordable oral diagnosis might be achieved by automating the detection precancerous malignant lesions mouth. There are many research attempts to develop robust machine-learning model can detect from images. However, these still lacking high precision detection. Therefore, this work aims propose new approach capable detecting medical images with higher accuracy. In work, novel...

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...

It is an undeniable fact that people excessively rely on social media for effective communication. However, there no appropriate barrier as to who becomes a part of the Therefore, unknown ruin fundamental purpose communication with irrelevant—and sometimes aggressive—messages. As its popularity increases, impact society also from primarily being positive negative. Cyber aggression negative impact; it defined willful use information technology harm, threaten, slander, defame, or harass...

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...

The rapid population growth results in a crucial problem the early detection of diseases medical research. Among all cancers unveiled, breast cancer is considered second most severe cancer. Consequently, an exponential rising death cases incurred by expected due to and lack resources required for performing diagnoses. Utilizing recent advances machine learning could help staff diagnosing as they offer effective, reliable, responses, which decreasing risk. In this paper, we propose new...

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...

Identification of infrastructure and human damage assessment tweets is beneficial to disaster management organizations as well victims during a disaster. Most the prior works focused on detection informative/situational tweets, damage, only one damage. This study presents novel approach for detecting involving damages. We investigated potential Bidirectional Encoder Representations from Transformer (BERT) model learn universal contextualized representations targeting demonstrate its...

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...

In this article, we present a supervised machine learning multipath and administrative-distance-based load balancing algorithm for an Agriculture Internet of Things (AG-IoT) network. The proposed is known as artificial intelligence or simply AI-enabled multihop opportunistic routing (MHADBOR) algorithm, which processes the collected information from source to destination by means count communication infrastructure in Beside that, used cluster heads (CH), microbase stations ($\boldsymbol {\Re...

Threatening content detection on social media has recently gained attention. There is very limited work regarding threatening in low-resource languages, especially Urdu. Furthermore, previous explored only mono-lingual approaches, and multi-lingual was not studied. This research addressed the task of Multi-lingual Content Detection (MTCD) Urdu English languages by exploiting transfer learning methodology with fine-tuning techniques. To address task, we investigated two methodologies: 1)...

Structured Query Language (SQL) injection attacks represent a critical threat to database-driven applications and systems, exploiting vulnerabilities in input fields inject malicious SQL code into database queries. This unauthorized access enables attackers manipulate, retrieve, or even delete sensitive data. The through underscores the importance of robust Artificial Intelligence (AI) based security measures safeguard against attacks. study's primary objective is automated timely detection...

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,...

Abstract Cognitive disorders affect various cognitive functions that can have a substantial impact on individual’s daily life. Alzheimer’s disease (AD) is one of such well-known disorders. Early detection and treatment diseases using artificial intelligence help contain them. However, the complex spatial relationships long-range dependencies found in medical imaging data present challenges achieving objective. Moreover, for few years, application transformers has emerged as promising area...

The increasing adoption of smart cameras and image sensors in industrial medical applications necessitates robust visual data security solutions. Internet Things (IoT) introduces unique challenges, particularly due to third-party involvement, which undermines traditional mechanisms. This study presents a three-layered encryption scheme integrating novel blockchain technology with chaotic fractal address these challenges. process combines an S-box generated from the May map for pixel...