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This research proposes the design of an AI-powered online chess system that combines classical search algorithms with modern machine learning techniques to create an adaptive and intelligent gameplay environment. The model integrates the Minimax algorithm with Alpha-Beta pruning, reinforcement learning,...

Leveraging the advanced capabilities of AI, real-time detection of gait anomalies through LiDAR technology is revolutionizing healthcare monitoring. This innovative approach enables precise and immediate assessment of patients’ walking patterns, highlighting deviations that may indicate underlying health...

As carbon emissions from the global shipping industry continue to rise, the urgency for low-carbon development has intensified. At the policy level, the International Maritime Organization (IMO) and the European Union have implemented increasingly stringent carbon reduction targets for shipping. Technologically,...

This study aims to develop and evaluate an adaptive lighting system to enhance the efficiency of microalgae cultivation in closed environments. The system integrates a photovoltaic solar panel, energy storage, and an IoT-based controller that dynamically regulates LED illumination according to real-time...

Individuals facing the complex intersection of mental health disorders and genetic conditions encounter significant barriers to effective care and personalized treatment pathways. This paper introduces a pioneering AI-powered platform that integrates advanced sentiment analysis with retrieval-augmented...

Powered two-wheelers (PTWs) constitute a dominant mode of transport in India, yet prolonged exposure to road irregularities subject’s riders to continuous whole-body vibration (WBV), increasing the risk of lower back pain (LBP). The present study investigates the biomechanical behaviour of the L3–L5...

This paper used SolidWorks to design solar powered electric bike structure. By comparing and verifying the possibility of several installation methods, the program determined that the solar panels is placed in front and rear frame and that the solar tracking device is installed. And the structure interfaced...

The rising frequency and sophistication of cyber threats in India’s cyberspace demand a robust real-time threat intelligence system for early detection, analysis, and mitigation. Traditional cyber security measures fall short due to fragmented data sources and limited adaptive threat detection. This...

Although gamification in education has been extensively studied, most of the studies published to date are primarily concerned with the short-lived nature of student engagement, lack adequate real-world empirical validation, and/ or do not incorporate artificial intelligence (AI). In this study, we introduce...

Power-to-Methanol systems, utilizing renewable energy sources, present a promising solution for achieving sustainable and low-carbon energy systems. This study focuses on investigating the operational flexibility and economic parameters of a PtM system, where hydrogen is produced through water electrolysis...

In the dynamic landscape of e-commerce, delivering exceptional customer experience has become a strategic imperative. As digital interactions surge, organizations are implementing the use of Artificial Intelligence (AI) with Business Intelligence (BI) tools to gain actionable insights into consumer behavior,...

The fast-rising urbanization and industrialization rates associated with urban agglomeration studies during recent decades have resulted in a considerable reduction in air quality in urban zones, specifically in cities such as Rajasthan, with profound impacts on public health, environment, and urban...

Chronic disease management requires intelligent, flexible, and proactive clinical tools. This study proposes a physician-focused multi-agent system (MAS) that leverages modular AI-powered agents to streamline patient data extraction, analysis, and decision-making. The system integrates real-time monitoring,...

Monkeypox, a re-emerging zoonotic disease, has raised global concerns due to its increasing transmission. Accurate and early detection is crucial for effective outbreak management and disease control.Various AI-driven diagnostic techniques have been developed, focusing on deep learning-based image classification...

This study introduces an AI-powered system using a customized ResNet50 model to enhance lung disease diagnostics through image analysis. Our model accurately classifies lung conditions, including adenocarcinoma, squamous cell carcinoma, and benign tissue, achieving 93.25% accuracy compared to the standard...

In this paper, a full-wave rectifier (FWR) with zero standby leakage current for vibrational energy harvesting systems is presented. Conventional active FWRs where active diodes are used to reduce the diode voltage drop and increase the system efficiency are usually powered from the output. Nevertheless,...

Aiming at the problem of pressure fluctuation in front of injector of a certain type of marine steam power plant fuel system caused by working condition change, a system optimization method is proposed, which combines the star-delta connection method of electric motor with the main pressure feedforward...

Industrial development also spread to the world’s agricultural sector. The agricultural industry is divided into two parts, namely upstream and downstream. The upstream sector includes the processing of agricultural land up to the harvesting process, while the downstream sector includes the post-harvest...

Crowdsourcing allows one to collect information from a large number of citizens relatively easily, thereby creating an opportunity to provide a novel technological means to view and imagine the city, complementing conventional geovisualization and urban simulation games. We postulate that the inflexibility...

The new large language models (LLMs), it is impressive in their generality, remain inadequate in terms of context-awareness, tool integration, and real-time flexibility that technical education requires. We offer a solution to this problem by introducing C.A.T.E. (Compiler Assistant for Technical Enhancement),...

In this investigation, the removals of pollutants especially 2,4,6-trichlorophenol by MBR and a simultaneous application of powdered activated carbon with MBR using flat sheet membrane were contrasted. The results displayed that both the two systems could effectively remove ammonia-N, total organics...

South Sumatra has an abundant solar energy source waiting to be optimally optimized. This potential is promising in all the economic sectors, such as agriculture. Solar energy application is one of digital farming implementation for agriculture and is expected to ease the farmers’ workload. This paper...

Recent advancements in the realm of software have brought forth evolving risks that impact both individuals and organizations. The emergence of AI powered malware with its growing stealth, adaptability and harmful capabilities presents obstacles to cybersecurity defenses. This type of malware is adept...

Risk assessment and risk matrices are powered tools used in risk management and help guide in the process of decision-making in organisations. Nevertheless, risk matrices have their own weaknesses and strengths. This paper provides a critical overview of the development and use of risk matrices in different...

This paper proposes a knee exoskeleton with passive-powering mechanism to provide power assistance to the knee joint during squat lifting of objects from the ground. It is designed to capture and store 20% of the biomechanical energy dissipated at the biological knee joint during decent phase and return...

This project focuses on developing an improved animal feed pellet machine that is affordable, ergonomic, and safe for small-scale animal breeders and new-comers. It addresses the high cost and lack of safety features in existing machines. This project introduces a portable, electrically powered machine...

The work is devoted to the electric power system of a hybrid ATV. Currently, electric cars are popular, however, they have a small power reserve compared to cars powered by an internal combustion engine. Consideration of the electric power system of a hybrid vehicle is an urgent task to this day. The...

This research aims to develop a method for synthesizing microalgae samples using light from lamps powered by solar panels and integrated to Internet of Things (IoT) technology to monitor seawater temperature and pH value as the synthesis medium. The system is designed to create an optimally controlled...

The early application of big data in the sports sector primarily focused on analyzing athlete performance and enhancing competitive abilities. With the advent of advanced “big data technologies,” powered by ICT innovations such as the Internet of Things (IoT) and artificial intelligence (AI), it has...

High energy usage for transportation and impacts of air pollution paved the way for transport electrification. As part of this, global move towards transport electrification. The core part of a green vehicle is an onboard charger for batteries. It has two stages of power conversion. Level I battery chargers,...

This paper investigates the integration of Learning Experience Platforms (LXP) powered by Artificial Intelligence (AI) within Malaysian universities, focusing on the synergy between Moodle, a widely-used Learning Management System (LMS), and ChatGPT, an AI-driven language model. The study examines the...

This paper proposes an AI-powered system that can generate facial sketches from a witness’s description of a criminal’s traits. Making use of advanced technologies like Natural Language Processing (NLP) and Generative Adversarial Networks (GAN), the model decodes detailed written or spoken inputs and...

Efficient ride-demand forecasting has become essential for modern transportation systems that depend on real-time operational intelligence. This research introduces a machine learning–based approach that predicts Uber ride demand using a high-volume dataset managed through MongoDB Atlas. The dataset...

The need for refrigeration in storing fishermen’s catches is crucial. A solar-powered cooling system is highly necessary during fishing trips, as no electrical energy is available on fishing boats. The objective of this study is to develop a mini cooler with a solar-powered vapor compression refrigeration...

Objectives: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at a post-transcriptional level. Through binding to mRNA sequences, miRNAs have a wide variety of functions, and are key regulators in vascular disease. Although there are only 2 papers looking directly at the association...

In order to generate low frequency acoustic wave and minish the ratio of the length to diameter, it is appropriate to instead the circular jet by annular jet as the high pressure gas power. So the larger diameter of jet and resonator are got in the condition of the same pressure and flux. Flow simulations...

Recently wireless body area network (WBAN) draws more and more attentions because of its benefits especially in health monitoring. As the sensor nodes in WBAN are battery-powered, energy efficiency is the top concern in the medium access control (MAC) protocol design. Therefore, in this paper, we propose...

The social sphere of the financial world is becoming increasingly exposed to cyber threats, and therefore defense systems must be developed to work independently and be intelligent and capable of expanding automatically. This research paper considers how the artificial intelligence-powered runs of Microsoft...

Coal, petroleum and natural gas will still be the basis of economic development for a long time. However, with a rapider consumption speed, these fossil fuels will be exhausted in the near future. In addition, the usage of these fossil fuels can also cause environmental pollution and greenhouse effect....

As an emerging interest in beauty and fashion, it is clear that many of the brands have been considering adopting Artificial Intelligence to promote their brands by utilizing different technologies. Consumers are provided with more options to interact with brands, products, and services as being a member...

Workplace gender inclusion is a fundamental issue in developing and enhancing workplace diversity equity and inclusion (DEI) across industries. Due to the prevalence of AI systems in Human Resource, many AI driven research initiatives have been pushing for the cause of gender equality in organizational...

Green ammonia offers a zero direct CO₂ emission pathway compared to conventional production, addressing the need for industrial decarbonization. PT Green Ammonia Indonesia (GAI) is developing a 300 metric ton per day plant in North Kalimantan powered by renewable hydroelectric energy from the Kayan River....

In order to make solar energy competitive with the other forms of renewable energies, a better exploitation of its advantages especially environmental side, this will be possible only with the development of the less expensive and high output efficiency systems. In this paper, the modeling and simulation...

Along with intensive people activities in different places, the demand on transportation increases. For some dense road, motorcycle might be the better choice due to its ability to move flexibly. This may lead to massive use of motorcycle powered by fossil fuel engine. Beside causing severe air pollution,...

We are approaching a future where artificial intelligence (AI) plays a significant role in our society. AI is progressively becoming widespread in many aspects, ranging from industry, manufacturing, energy, and healthcare to education. Among those sectors, education covers significant societal impacts....

In the context of accelerating globalization and increasing international interactions, cross-cultural communication and adaptation skills, economic and management literacy, legal compliance awareness, and multilingual proficiency have become key indicators of comprehensive talent competitiveness. However,...

Due to technique advances, wireless sensor networks (WSNs) are widely used in both military and civil scenarios. A vast amount of data is transmitted to the base station through resource-restrained nodes, which are powered by batteries with limited energy. An energy saving routing protocol is fundamental...

EVALPRO is a platform that helps with the hiring process. It does this by simulating the process of finding and hiring someone. This includes testing how smart someone is, how good they are at their job and how well they do in interviews with people from the company and with the human resources department....

In this work, Brushless Direct-Current (BLDC) Motor utilized in Electric-Powered Vehicle application is simulated using Closed-Loop Control (CLC). There are numerous methods for controlling a BLDC motor. Because Brushless DC (BLDC) motors have superior electrical and mechanical properties, they are used...

To achieve an addiction recovery process, continuous monitoring, early risk identification and presence of timely intervention are necessary to avoid relapse and aid in long-term rehabilitation outcomes. In this paper, the author describes Rehab360, a versatile AI-based platform to explore addiction...