The evolving capabilities of Geographic Information Systems (GISs) are transforming various industries, including e-commerce, by providing enhanced spatial analysis and precision in customer targeting, improving the ability recommender systems. This paper proposes a novel framework that integrates mobile agents with GISs to deliver real-time, personalized recommendations e-commerce. By utilizing OpenStreetMap API for geographic mapping Java Agent Development Environment (JADE) platform...

Technological advancements have significantly enhanced e-commerce, helping customers find the best products. One key development is recommendation systems, which personalize shopping experience and boost sales. This paper explores a novel geographic system that uses demographic data, such as population density, age, income, to refine recommendations. By integrating information, like size of country, businesses can tailor their offerings regional preferences. targeted approach aims make...

Abstract Recommendation technology is an essential component of the Internet Things (IoT) services that can help users get information at any time and from place. Traditional recommendation algorithms, on other hand, are unable to satisfy IoT environment’s swift reliable criteria. The use mathematical discovery methods overcome relationship with target consumers in order have desired items known as a system. In this paper, algorithm based collaborative filtering proposed. sense, method...

The digital revolution caused major changes in the world because not only are people increasingly connected, but companies also turning more to use of intelligent systems. large amount information about each product provided by e-commerce websites may confuse customers their choices. recommendations system and Internet Things (IoT) being used an increasing number help find products that fit profile purchase what they had already chosen. This paper proposes a novel IoT based would serve as...

In this work, we present how can integrate RFID technology and the Internet of Things into an e-commerce system. fact, radio frequency identification is latest innovation used in trade to deal with automated items distinguish every attempt take or lose any item. This current paper addresses based on architecture aimed at automating sales transaction process. We proposed a prototype for

This paper presents a new approach in the localization of student class. reviews evolution learning technologies general and recent advances mobile pervasive particular. In this work, we aim to study, model simulate an ambient system based on intelligent agents for Mobile (M- learning). The agent concept is not traditional client-server model, but distributed executive models. our work proceed as follows: first, introduce scope genesis research, second, hold out related works, afterwards,...

The increasing demand for consumers to engage in e-commerce “anytime, anywhere” necessitates more advanced and integrated solutions. This paper presents a novel approach integrating platforms with the Internet of Things (IoT) through use agent-based models. key objective is create multi-agent system that optimizes interactions between IoT devices systems, thereby improving operational efficiency, adaptability, user experience online transactions. In this system, independent agents act as...

The speedy progress of computer vision and machine learning engineering has inaugurated novel means for improving the purchasing experiment in brick-and-mortar stores. This paper examines utilization YOLOv (You Only Look Once) DeepSORT (Deep Simple Online Real-Time Tracking) algorithms real-time detection analysis penchant market surroundings. By leveraging these algorithms, stores can track customer behavior, identify popular products, monitor high-traffic areas, enabling businesses to...

This paper presents a computer-vision-based approach designed to enhance product placement and sales strategies in physical retail stores through real-time analysis of customer behavior. Our method employs DeepSORT for tracking YOLOv5 object identification generate heatmaps that illustrate consumer movement patterns engagement levels across various locations. To precisely track paths, the procedure starts with collection video material, which is then analyzed. Customer interaction traffic...

Recent years have witnessed the increase of field mobile learning, fostered by continuous development computing and wireless technology, today learning presents a fundamental approach to satisfy our daily needs requirements.Specifically, in this work, we aim study as model simulate ambient system which is based on intelligent agents.The agent not traditional client server however it distributed ones.The present article proposes architecture for M-Learning that aims facilitate teacher student...

The Internet of Things (IoT) is expected to have a significant impact during the pandemic.Individuals are using IoT for educational purposes (as students and trainers), office work, banking, medical jobs pandemic, according (COVID-19) survey.Individuals who used services pandemic situations found that it allows them maintain close physical distance from illness.On other hand, individuals face main challenge as causes social isolation limits human touch.An anonymous survey an immediate...