Titlebook: Recent Advances in Artificial Intelligence and Smart Applications; Proceedings of RAAIS Jyotsna Kumar Mandal,Mike Hinchey,Satyajit Chakrab

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Performance Analysis of Marketing Campaign with Customer Profile Using Machine Learning,d to boost the conversion rates of the customer. This can be done by reducing the customer acquisition cost. Since the banking sector previously made same schemes and plans for the wide range of customers to reduce the acquisition cost and better service. So introducing personalized marketing can pr

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An IoT-Based Smart Tracking Application Integrated with Global Positioning System (GPS),e instrument is specifically created to serve as a versatile tracking mechanism that facilitates accurate placement through the utilization of coordinates, namely longitude and latitude. The central processing unit, as well as the interface unit for facilitating communication with both hardware and

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SAHMS: Smart Animal Health Monitoring System, System (SAHMS) that employs cutting-edge technology to monitor or observe the health of farm animals in real time. This system uses wearable sensors and the Bluetooth Low Energy (BLE) development board to collect vital health parameters such as body temperature, humidity, and heart rate from animal

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Multisensor-Based Multitasking Goggles to Reduce Road Accidents,sions using an IR sensor, and at the same time, it will give an alarm when drivers are sleepy. The second objective is to detect whether the driver has consumed alcohol. After drinking alcohol, if somebody wants to drive a car, that is the most dangerous decision one can take because the increasing

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Secured Assertive Protocol for Routing in Cloud Network,enging one. The routing protocols developed for common networks won’t suit CC networks due to the scalability and heterogeneity. This research proposes Secured Assertive Protocol for Routing (SAPR) for a CC-based network. Data security is ensured by applying security algorithms once SAPR determines

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Efficiency and Benchmarking Using DEA and Tessellation in the Education Sector,rget population (Serviceable Addressable Market). The case pertains to 25 schools in one region in Ghana, West Africa. The insights from this study offer valuable policy guidelines for governments and education councils, because not only the inefficient schools were identified, but it pointed out th

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Comparative Analysis of Pre-trained Deep Learning Models for Cataract Detection in Color Fundus Imaitionally, we recommend exploring ensemble methods and fine-tuning strategies to optimize classification accuracy. This study contributes to the understanding of utilizing deep learning models for medical image classification tasks, specifically in the context of cataract detection using fundus imag

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