Recent Advances in Computer Science and Communications - Volume 17, Issue 2, 2024

Plant diseases are one of the major contributors to economic loss in the agriculture industry worldwide. Detection of disease at early stages can help in the reduction of this loss. In recent times, a lot of emphasis has been done on disease detection due to the overall increase in production as well as the loss of grape number. With deep learning, having a promising future and having the advantages of automatic learning and fe Read More

Background: The concept of pill reminders has been discussed and developed throughout the decade. It varies from cascaded plastic pill boxes to complicated robust dispensers. This proposed smart pill reminding system based on IoT is being designed by considering ease-to-use and cost-effectiveness. Method: A smart pill reminding system is a system that will alert the patient to take their respective pill at the desired time Read More

Background: Ontology matching provides a solution to the semantic heterogeneity problem by finding semantic relationships between entities of ontologies. Over the last two decades, there has been considerable development and improvement in the ontology matching paradigm. More than 50 ontology matching systems have been developed, and some of them are performing really well. However, the initial rate of improve Read More

This journal paper examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in shaping human psychology. It investigates how cognitive processes, emotional states, and social interactions are impacted by AI and ML technology. The use of AI and ML in psychology is covered in this study, covering social behaviour analysis, emotion identification, mental health assessment, and personalis Read More

The advent of powerful tools like ChatGPT has opened up exciting new possibilities for augmenting law enforcement capabilities, elevating its efficiency and expanding its capacity. The AI-driven capabilities of ChatGPT can be harnessed to usher in novel applications in diverse areas such as language translation, customer service, content generation, and even law enforcement. In the realm of law enforcement, ChatGPT's pot Read More

In the field of meteorology, temperature forecasting is a significant task as it has been a key factor in industrial, agricultural, renewable energy, and other sectors. High accuracy in temperature forecasting is needed for decision-making in advance. Since temperature varies over time and has been studied to have non-trivial long-range correlation, non-linear behavior, and seasonal variability, it is important to implement an Read More

This study conducts a comprehensive review of Deep Learning-based approaches for accurate object segmentation and detection in high-resolution imagery captured by Unmanned Aerial Vehicles (UAVs). The methodology employs three different existing algorithms tailored to detect roads, buildings, trees, and water bodies. These algorithms include Res-UNet for roads and buildings, DeepForest for trees, and WaterDe Read More

Background: In the last decades, the development of Internet activities has been significantly accelerated, particularly with the emergence of the Internet of Things (IoT). Heterogeneous devices in the IoT can seamlessly and feasibly inter-connect with each other without human interaction. Due to this revolution, many applications have been adopted in the arena of smart healthcare, e-commerce, environmental and habitat Read More