Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of people die due to deadly brain tumors. Therefore, accurate detection and classification essential in treatment Numerous research techniques have been introduced for BT as well based on traditional machine learning (ML) deep (DL). The ML classifiers require hand-crafted features, which is time-consuming. On contrary, DL robust feature extraction has recently widely used purposes. this work, we propose a...

Diabetic retinopathy (DR) is a diabetes complication that affects the eye and can cause damage from mild vision problems to complete blindness. It has been observed fundus images show various kinds of color aberrations irrelevant illuminations, which degrade diagnostic analysis may hinder results. In this research, we present methodology eliminate these unnecessary reflectance properties using novel image processing schema stacked deep learning technique for diagnosis. For luminosity...

Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. cyberattack is one of the most challenging things to stop. The biggest problem caused by millions sensors constantly sending and receiving data packets over network. Cyberattacks can compromise grid’s dependability, availability, privacy. Users, communication network devices sensors, administrators three layers an innovative vulnerable cyberattacks....

Cloud computing has emerged as the most favorable platform for researchers and industry. The load balanced task scheduling an important challenging research problem in computing. Swarm intelligence-based meta-heuristic algorithms are considered more suitable balancing. optimization procedure of swarm meta-heuristics consists two major components that local global search. These find best position through To achieve optimized mapping strategy tasks to resources, a balance between search plays...

This paper provides an extensive and complete survey on the process of detecting preventing various types IoT-based security attacks. It is designed for software developers, researchers, practitioners in Internet Things field who aim to understand these For each entry identified from list, a brief description provided along with references where more information can be found. However, We surveyed current state-of-the-art IoT solutions focused four main aspects: (1) handpicking representative...

Background: Alzheimer’s, the predominant formof dementia, is a neurodegenerative brain disorder with no known cure. With lack of innovative findings to diagnose and treat number middle-aged people dementia estimated hike nearly 13 million by end 2050. The cost Alzheimer’s other related ailments USD321 billion in 2022 can rise above USD1 trillion Therefore, early prediction such diseases using computer-aided systems topic considerable interest substantial study among scholars. major objective...

This study investigates the impact of activity-based learning and utilization ChatGPT on students' academic performance within educational framework. The aims to assess effectiveness in comparison traditional methods, while also evaluating potential benefits drawbacks integrating as an tool. employs a comparative approach, analyzing outcomes students exposed versus those using conventional methods. Additionally, examines usage education through surveys trials determine its contribution...

Real-time data gathering, analysis, and reaction are made possible by this information communication technology system. Data storage is also it. This a good move since it enhances the administration operation services essential to any city’s efficient operation. The idea behind “smart cities” that (ICTs) need be included in routine activities order gather, analyze, store enormous amounts of real-time. helpful makes managing governing urban areas easier. “drone” or “uncrewed aerial vehicle”...

Design closure and parameter optimisation are crucial in creating cutting-edge antennas. Antenna performance can be improved by fine-tuning preliminary designs created using theoretical considerations rough dimension adjustment via supervised sweeps. This paper introduces a frequency reconfigurable antenna design that operate at 28/38 GHz frequencies to meet FCC Ofcom standards for 5G applications the 18 band K-band radar applications. A PIN diode is used this configure multiple bands. The...

As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods institutional operations. can improve educational outcomes, resource management, long-term sustainability in education, according to this study. The research uses case studies best practices show how AI-driven innovations minimize impact, enhance energy efficiency, customize learning, creating more sustainable inclusive academic environment....

The rapid spread in digital data usage many real life applications have urged new and effective ways to ensure their security. Efficient secrecy can be achieved, at least part, by implementing steganograhy techniques. Novel versatile audio steganographic methods been proposed. goal of systems is obtain secure robust way conceal high rate secret data. We focus this paper on steganography, which has emerged as a prominent source hiding across novel telecommunication technologies such covered...

Educational data generated through various platforms such as e-learning, e-admission systems, and automated result management systems can be effectively processed educational mining techniques in order to gather highly useful insights into students’ performance. The prediction of student performance from historical academic is a desirable application mining. In this regard, there an urgent need develop technique for prediction. Existing studies on primarily focus utilizing the conventional...

Automatic speech recognition (ASR) is one of the ways used to transform acoustic signals into text. Over last few decades, an enormous amount research work has been done in area (SR). However, most studies have focused on building ASR systems based adult speech. The children’s was neglected for some time, which means that field SR wide open. Children’s a challenging task due large variations articulatory, acoustic, physical, and linguistic characteristics compared Thus, became very...

The whole world is facing a health crisis, that unique in its kind, due to the COVID-19 pandemic. As coronavirus continues spreading, researchers are concerned by providing or help provide solutions save lives and stop pandemic outbreak. Among others, artificial intelligence (AI) has been adapted address challenges caused In this article, we design deep learning system extract features detect from chest X-ray images. Three powerful networks, namely ResNet50, InceptionV3, VGG16, have...

On 30 January 2020, the World Health Organization announced a new coronavirus, which later turned out to be very dangerous. Since that date, COVID-19 has spread become pandemic now affected practically all regions in world. then, many researchers medicine have contributed fighting COVID-19. In this context and given great growth of scientific publications related global pandemic, manual text data retrieval challenging task. To remedy challenge, we are proposing CovBERT, pre-trained language...

The versatility of IoT devices increases the probability continuous attacks on them. low processing power and memory have made it difficult for security analysts to keep records various performed these during forensic analysis. analysis estimates how much damage has been done due attacks. In this paper, we proposed an intelligent mechanism that automatically detects attack using a machine-to-machine (M2M) framework. Further, M2M framework developed different tools machine learning detect...

Object detection plays a vital role in the fields of computer vision, machine learning, and artificial intelligence applications (such as FUSE-AI (E-healthcare MRI scan), face detection, people counting, vehicle detection) to identify good defective food products. In field intelligence, target has been at its peak, but when it comes detecting multiple targets single image or video file, there are indeed challenges. This article focuses on improved K-nearest neighbor (MK-NN) algorithm for...

Deep Neural Networks have offered numerous innovative solutions to brain-related diseases including Alzheimer’s. However, there are still a few standpoints in terms of diagnosis and planning that can be transformed via quantum Machine Learning (QML). In this study, we present hybrid classical–quantum machine learning model for the detection Alzheimer’s using 6400 labeled MRI scans with two classes. Hybrid transfer is used, which makes it possible optimally pre-process complex...

With the help of machine learning, many tasks can be automated. The use computers and mobile devices in “intelligent” buildings may make such as controlling indoor climate, monitoring security, performing routine maintenance much easier. Intelligent employ Internet Things to establish connections among components that up structure. As notion (IoT) gains attraction, smart grids are being integrated into larger networks. IoT is an integral part since it enables beneficial services improve...

Artificial intelligence is serving as an impetus in digital health, clinical support, and health informatics for informed patient's outcome. Previous studies only consider classification accuracies of cardiotocographic (CTG) datasets disregard computational time, which a relevant parameter environment. This paper proposes modified deep neural algorithm to classify untapped pathological suspicious CTG recordings with the desired time complexity. In our newly developed algorithm, AlexNet...