Search all articles

As artificial intelligence (AI) technologies advance by leaps and bounds, their profound influence on consumer behavior has emerged as a pivot-al research domain. This study probes into how AI applications, including intelligent recommendation engines, virtual customer assistants, and advanced data analytics,...

The number of women attaining leadership positions in governmental institutions is significantly increasing. The growth of recognizing women in the political sphere prompts the need for this paper to explore how women maintain power and authority on the ‘floor’ through their language choices. To that...

The digital landscape is experiencing a concerning surge in online threats, with their associated risks growing exponentially, especially within the realm of online learning platforms. These threats span a broad spectrum, ranging from sophisticated cyberattacks to pervasive phishing campaigns and insidious...

Synthetic azo dyes, such as Acid Violet 7 (AV7), are highly stable in industrial effluents and therefore pose significant environmental challenges for their removal. This study investigates a hybrid process that combines hydrodynamic cavitation (HC) with activated carbon (AC) adsorption to degrade AV7...

Human Resources (HR) to optimize employee experience (EX) and engagement within organizations. Leveraging implications systematic analysis and bibliometric methodologies, this research aims to elucidate the current landscape, trends, and of AI-driven HR interventions on employee-centric outcomes. ...

By integrating blockchain technology through citizen collaboration models, there is also an opportunity for smart urban innovation, participatory governance, and secure digital identity management. They are typically centered around decentralized, transparent, and citizen-centric frameworks that promise...

Wireless sensor networks can be widely applied for a security system or a smart home system. Since some of the wireless remote sensor nodes may be powered by energy storage devices such as batteries, it is a very important issue to transmit signals at lower power with the consideration of the communication...

This study examines the TPACK model’s factor structure to assess pre-service teachers’ readiness in J City, China, for integrating AI into their teaching practices. A survey involving 322 participants was conducted to investigate the relationships between TPACK components and their impact on competencies...

Adaptive learning systems (ALS), powered by artificial intelligence, represent an innovative approach to increasing student engagement in science at the university level. These systems, by analyzing the individual performance of students, adapt the content and pace of learning to their specific needs....

The current development of artificial intelligence (AI) may encourage the digital architect emergence. It is an artificial-intelligence-powered software that approaches the architectural design process from upstream to downstream in an integrated and comprehensive manner and works autonomously. This...

Hydro-pneumatic transform (short for HP transformer) wastes a lot of compressed air when working, and its power efficiency is low. To improve its efficiency, we carry on the parameter optimization which influences the power efficiency of HP transformer system. Firstly, we build up a mathematical model...

Robotics has made great strides, and human–robot interaction (HRI) is increasingly crucial to providing the greatest user experience, reducing time-consuming activities and increasing public acceptance of robots.AI researchers frequently refer to robots as workspaces since they are artificial agents...

The article describes the prospects and problems of creating low-cost unmanned systems for airborne geological prospecting of large areas with a simple topography. A novel electrically-powered unmanned aerial system (UAS) based on a vertical takeoff and landing (VTOL) aircraft was developed for low-altitude...

In today’s data-driven economy, strategic knowledge visioning is critical for fostering innovation and sustaining competitive advantage. This paper explores how artificial intelligence (AI)-enabled text mining of secondary data sources such as patents, academic publications, and business reports can...

This study investigates the comparative effects of teacher feedback and AI-assisted feedback in second language (L2) writing instruction. Acknowledging the challenges teachers encounter in delivering comprehensive and timely feedback, this research focuses on the emergence and potential of Natural Language...

This study evaluates the usability of Talent Cerdas, an AI-powered workforce planning platform designed to address skill-job mis- matches in Indonesia’s Riau Islands Province. Unlike traditional job portals, this system employs machine learning algorithms for intelligent job matching and real-time labor...

This paper explores the application of artificial intelligence (AI) in predictive preservation for railway systems. As rail networks become an increasing number of extra complexes, the need for inexperienced and reliable preservation strategies grows. Predictive preservation, powered through manner of...

Implementing energy from the sun to power a digital farming concept in Palembang can significantly benefit agriculture. This study’s objective of digital farming is to develop solar-powered automatic agriculture. Agrivoltaic refers to the combination of agriculture and solar energy generation. This research...

Adaptive learning systems that monitor emotions have attracted interest due to their capabilities to customize educational experiences. The process of selecting optimal emotion recognition models faces challenges due to discrepancies in accuracy levels along with computational constraints and requirements...

Electric vehicle (EV) power trains need to interface low-voltage, high-current energy sources like fuel cells or batteries with high-voltage, low-current motors in an efficient manner. Especially when boosting or bucking is high, conventional single-stage, single-arm DC/DC converters frequently suffer...

Advanced natural language processing (NLP) and machine learning (ML) techniques have been integrated into clinical systems paving the way for transformative healthcare solutions. In this paper, we will introduce a unified framework utilizing BioBERT, DialogGPT, FAISS search, and LightGBM to bridge important...

In this paper explores the purpose for deep learning algorithms in the early recognition of cardiovascular diseases (CVDs). With CVDs being a indicating source of transience worldwide, early diagnosis is critical for successful treatment and prevention. In order to locate feasible risks and early signs...

Tourism accessibility is crucial for fostering sustainable and inclusive growth; however, transportation barriers, especially in environmentally fragile regions like Northeast India, present significant challenges. This study explores how adopting low-impact transportation solutions can improve tourism...

Cloud computing has become the backbone of modern digital infrastructure, driving everything from enterprise business applications to consumer services. But strong demand for cloud services has driven up energy consumption, spurring operational costs and threatening environmental sustainability. When...

Background /Introduction: Adolescent mental health disorders are on the rise in India, where access to professional support is severely hampered by workforce shortages, stigma, and infrastructural barriers. Early identification within school settings is critical but seldom put into practice....

This paper explores the application and effectiveness of an AI-empowered formative assessment mechanism in college English education. It examines the theoretical foundations of formative assessment and AI applications, emphasizing the integration of constructivist learning theory and data-driven decision-making....

Information security is facing a significant issue due to the proliferation of malware programs. Malware analysis refers to the process of interpreting malicious software to determine its functionality and intent and assist in detection. Conventional methods, which rely on both static and dynamic analyses...

This paper discusses how artificial intelligence may revolutionize rural tourism in India, focusing on visitor experiences and sustainability. The conceptual paper presents an AI framework for rural tourism that emphasizes accessibility, personalization, and sustainability. Building an AI-powered rural...

This paper introduces AIVA (AI-powered Interview Verbal Analysis), a novel system that combines advanced speech-to-text technology with natural language processing (NLP) to automate interview analysis. AIVA integrates a fine-tuned Whisper model optimized for Indian English accents with a large language...

ChatGPT, an AI-powered chatbot, is equipped with advanced natural language processing capabilities. While ChatGPT has introduced innovative and convenient learning methods for university students, it has also led to a dependency that manifests in issues like reliance on AI for homework and instances...

Selection of appropriate material handling equipment for specific conditions is found to be a multi-criteria decision-making problem. The selection procedure is found to be unstructured, characterized by subject knowledge and requiring the application of an effective and efficient multi-criteria decision-making...

Straightness, verticality and step height deviation are the main parameters to evaluate the safe and stable operation of the elevator. One kind of automated detecting system is devised to detect these multiple parameters of elevator guide rails at the same time exactly and efficiently. The detecting...

This study has a primary focus on the use of deep learning and artificial intelligence (AI) in enhancing weapon detection capability in security systems, and this overcomes traditional limitations in dynamic environments. Our method relies upon convolutional neural networks (CNNs) and deep learning models...

Early disease detection reduces mortality and healthcare costs. This study proposes an AI-powered early warning system using age, blood pressure, glucose, and BMI to predict risks for diabetes and heart disease. Random Forest with SHAP-based explainability was selected based on a systematic benchmark...

Operational amplifiers are at the heart of most analog circuits, but their energy requirements have become a pressing concern, particularly in battery-powered systems and small sensors. To meet these demands, engineers have increasingly focused on low-power operational amplifiers that can deliver acceptable...

“Digital intelligence” is the integration of digitalization and artificial intelligence. The combination of digital intelligence and educational information technology has rapidly promoted the reform, innovation, development, and application of foreign language education programs in general, and Vietnamese...

Digital finance has emerged as a powerful driver of economic inclusion and growth in developing countries. By leveraging mobile banking technologies, digital wallets, and AI-driven platforms, it enables previously unbanked populations and small businesses to access essential financial services. This...

Most of the crop supply systems in urban areas face multiple challenges such as food waste, limited access for small scale producers and excessive costs. This model covers all agri-producers- both farmers and home growers in urban context. This paper presents Urban AgriFlo an all-in-one AI powered platform...

Based on the appropriate point of integration of nation-state main cultural trade objects , cultural trade picture should be natural : the dynamic mechanism of the trade is the value of recognition rather than the industrial division of labor , and the constrainted mechanism of trade walks in the market...

Reinforcement learning (RL) has recently gained significant attention due to the impressive successes of self-driving cars and human-like performance in games such as Go or StarCraft. However, approaching this subject can be intimidating. In this research, the author aims to explore how to train a RL...

The Student Employment Portal project is designed to streamline job opportunities for students, providing a comprehensive platform for applying to school jobs, part-time work, study work programs, and full-time positions post-graduation. Utilizing cutting-edge technologies such as Blockchain, Artificial...

AI Driven real-time analytics platforms are revolutionising public engagement, interactive policymaking and digital citizenship innovation. This includes platforms that utilize artificial intelligence (AI) powered insights, collective intelligence, and generative AI to drive better governance and promote...

With the proliferation of AI-powered tools in educational environments, new pedagogical possibilities have emerged for language learning and academic writing development. However, existing research has disproportionately concentrated on AI tool use in general EFL or conventional academic writing settings,...

Steel cofferdam is essential for the construction of the large bridge, which is featured by its huge volume and heavy weight. When steel cofferdam has been built in the shipyard, it would be transit to the bridge construction site by way of waterway. Owing to its no-powered self-propelled, it should...

The necessity of combining computer vision and artificial intelligence (AI) technologies to improve crop health monitoring and productivity has been brought to light by the quick development of smart agricultural systems. Manual inspection is a labor-intensive and time-consuming process that is frequently...

Nowadays, the vacuum cleaner is a quite convenient cleaning tool which is cable or cordless, industrial or household, and even equipped with a microprocessor that automatically clean the floor at home. Because the cordless vacuum cleaner is not limited to the cord and more convenient to clean around...

Artificial Intelligence (AI) technologies are increasingly integrated into social and entrepreneurial ecosystems, transforming the way individuals with disabilities interact with their environment. This rapid integration raises important ethical considerations related to data privacy, algorithmic bias,...

Addressing prominent issues in vocational high school “Information Technology” classrooms—such as rigid teaching models, a lack of differentiated instruction, and an evaluation system that fails to adequately foster student development—this paper integrates two core tools, WPS AI and XueTong AI Teaching...

The integration of renewable energy sources for Electric Vehicle (EV) charging presents significant challenges, including energy intermittency, voltage fluctuations, and the need for efficient power management. Current electric vehicle (EV) charging systems often face challenges in maximizing charging...

The rapid growth of urban populations presents significant challenges to sustainable food production, primarily due to land scarcity and increasing demand for fresh produce. Aquaponics, an integrated system combining aquaculture and hydroponics, offers a promising solution by enabling efficient food...