Big Data has gained much attention from the academia and IT industry. In digital computing world, information is generated collected at a rate that rapidly exceeds boundary range. Currently, over 2 billion people worldwide are connected to Internet, 5 individuals own mobile phones. By 2020, 50 devices expected be Internet. At this point, predicted data production will 44 times greater than in 2009. As transferred shared light speed on optic fiber wireless networks, volume of market growth...

The objective of this study is to explore the role artificial intelligence applications (AIA) in education. AI provide solution many ways exponential rise modern-day challenges, which create difficulties access education and learning. They play a significant forming social robots (SR), smart learning (SL), intelligent tutoring systems (ITS) name few. review indicates that sector should also embrace modern methods teaching necessary technology. Looking into flow, organizations need adopt...

The aim of the article is to explore academic and administrative applications Artificial Intelligence. Teachers have main responsibility teaching in any educational setting. But there are various other tasks be performed by teachers as well. Besides duty, most teacher’s time resources dedicated works. Intelligence Applications (AIA) not only assisting education academically administratively but also enhance their effectiveness. AIA provides help types shape Learning Analytics (LA), Virtual...

Abstract This study examines the impact of artificial intelligence (AI) on loss in decision-making, laziness, and privacy concerns among university students Pakistan China. Like other sectors, education also adopts AI technologies to address modern-day challenges. investment will grow USD 253.82 million from 2021 2025. However, worryingly, researchers institutions across globe are praising positive role but ignoring its concerns. is based qualitative methodology using PLS-Smart for data...

The traditional supply chain system included smart objects to enhance intelligence, automation capabilities, and intelligent decision-making. Internet of Things (IoT) technologies are providing unprecedented opportunities efficiency reduce the cost existing chain. This article aims study prevailing explore benefits obtained after embedded networks IoT implanted. Short-range communication technologies, radio frequency identification (RFID), middleware, cloud computing extensively comprehended...

Technology has played a vital part in improving quality of life, especially healthcare. Artificial intelligence (AI) and the Internet Things (IoT) are extensively employed to link accessible medical resources deliver dependable effective intelligent Body wearable devices have garnered attention as powerful for healthcare applications, leading various commercially available multiple purposes, including individual healthcare, activity alerts, fitness. The paper aims cover all advancements made...

The past few years have witnessed the emergence of a novel paradigm called cloud computing. CC aims to provide computation and resources over internet via dynamic provisioning services. There are several challenges issues associated with implementation CC. This research paper deliberates on one main problems i.e. load balancing (LB). goal LB is equilibrating servers such that no host under/ overloaded. Several algorithms been implemented in literature effective administration satisfying...

Cloud computing has seen a major boom during the past few years. Many people have switched to cloud because traditional systems require complex resource distribution and solutions are less expensive. Load balancing (LB) is one of essential challenges in used balance workload services. This research paper presents performance evaluation existing load-balancing algorithms which particle swarm optimization (PSO), round robin (RR), equally spread current execution (ESCE), throttled load...

Sentiment analysis, is commonly known as opinion mining, a vital field in natural language processing (NLP) that claims to find out the sentiment or emotion expressed given text. This research paper demonstrates an exhaustive survey of focusing on application machine learning techniques. Comprehensive parametric literature review has been completed determine analysis using SVM and Random Forest. Additionally, covers preprocessing techniques, feature extraction, model training, evaluation,...

In this paper, a novel wideband circularly polarized multiple-input multiple-output (MIMO) dielectric resonator antenna (DRA) has been proposed for worldwide interoperability microwave access (WiMAX) applications. The mutual coupling (MC) between closely placed DRA units at 0.5λ significantly reduced by using new hybrid technique. exclusive features of the MIMO include wide impedance matching bandwidth (BW), broadband circular polarization (CP), and suppressed MC radiating elements. first...

Deep neural networks have made tremendous strides in the categorization of facial photos last several years. Due to complexity features, enormous size picture/frame, and severe inhomogeneity image data, efficient face classification using deep convolutional remains a challenge. Therefore, as data volumes continue grow, effective mobile context utilizing advanced learning techniques is becoming increasingly important. In recent past, some Learning (DL) approaches for identify images been...

The internet of things (IoT) is one the growing platforms current era that has encircled a large population into its domain, and life appears to be useless without adopting this technology. A significant amount data generated from an immense number smart devices their allied applications are constructively utilized automate our daily activities. This big requires fast processing, storage, safe passage through secure channels safeguard it any malicious attacks. In such situation, security...

Adopting Artificial Intelligent Technology in an Educational Organization is often problematic due to many internal and external environmental reasons, fails attain the desired goals. This study aims design a framework for adopting AI technology education sector. Most of research focuses on acceptance particular ignores what else needed acceptance. The this provides step-by-step process Technological Transformation organization never designed before. We recommend that before making any...

In November 2022, ChatGPT3, an advanced AI-powered chatbot, emerged suddenly, generating significant interest in higher education. Concerns arose regarding its potential to complicate the authentication of genuine student work. While some foresaw negative impacts, we advocate a positive outlook, suggesting educators can utilize ChatGPT cultivate supportive learning environments that enhance students' character development. Our study thoroughly explores ChatGPT's implications for education...

The integration of widely fluctuating distributed generation (such as photovoltaic panels, wind power, electric vehicles, and energy storage systems) puts the stability power technologies distribution structures in jeopardy. However, fundamental reason is that electrical supply demand ratio may not be balanced. An excess or scarcity electricity production consumption can disrupt system cause serious difficulties such voltage drops/rises and, extreme cases, outages. Energy management systems...

Emotion‐based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification user behavior, such as emotional expressions, based online social media texts. However, the majority prior attempts are traditional procedures that insufficient to provide promising outcomes. In this study, we categorize sentiments by recognizing them in text. For purpose, present deep learning model, bidirectional long‐term short‐term memory (BiLSMT), for emotion...

Abstract Electricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies. To find ET, numerous machine learning, deep mathematically based algorithms have been published in literature. However, these models do not yield greatest results due to issues like dimensionality curse, class imbalance, inappropriate hyper‐parameter tuning learning etc. A hybrid DL model...

The quest for energy efficiency (EE) in multi-tier Heterogeneous Networks (HetNets) is observed within the context of surging high-speed data demands and rapid proliferation wireless devices. analysis existing literature underscores need more comprehensive strategies to realize genuinely energy-efficient HetNets. This research work contributes significantly by employing a systematic methodology, utilizing model facilitates assessment network performance considering spatial distribution...