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248 indexed article(s)
The contemporary product success is heralded through customization and personalization. The present paper proposes a machine learning-based system that enhances adaptive, personalised product configuration based on the analysis of user cust...
Precision Agriculture tries to ensure maximum use of resources to get maximum production of crops with minimum use of water, fertilizers, and agrochemicals under highly dynamic climatic and soil conditions. Most existing precision farming a...
This research presents Stock former, a Transformer-based deep learning model for financial time-series forecasting in the Indian stock market. Using hourly data from the top five NIFTY Bank stocks such as HDFC Bank, ICICI Bank, SBI, Kodak B...
Cotton is the backbone of the global textile economy, yet it is highly vulnerable to diseases that cause substantial yield and quality reduction. Conventional manual detection is time-consuming, prone to errors, and cannot offer real-time d...
This has increased the urgency to have proper emotion recognition structures that could recognize more than one co-occurring emotion due to the proliferation of textual information on social media generated by users. The purpose of this wor...
In this paper, we investigated the most widely utilized group key management approaches, which enabled and best-effort perspective within a trusted domain, for the Internet of Things (IoT) devices. The protection of such data is extremely c...
Diseases of tomato leaves have a high impact on the production of crop and the yield can be reduced if the diseases are not identified at primary stage. The traditional way of detecting diseases by human experts is slow and laborious, and a...
The need for proactive and intelligent healthcare solutions has increased due to the ageing population, chronic disease incidence, and a requirement for real-time patient monitoring, particularly in rural areas. This paper presents an Intel...
Distributed Denial of Service (DDoS) attacks are posing an increasing threat to SCADA systems, which are the core infrastructure for power grids, water treatment, oil and gas pipelines, and many other critical infrastructure systems. The gr...
The integration of artificial intelligence (AI) in Alzheimer’s disease detection has improved diagnostic capabilities. It enables accurate and early identification of the disease through advanced analysis of neuroimaging data, biomarkers, a...
Mental health problems are becoming a significant international health issue, and a late diagnosis has, in most cases, caused serious social, economic, and clinical impacts. Early detection is consequently a requirement for timely intervent...
Classical computing is a traditional computing system currently used in digital devices like laptops, smartphones, servers and personal computers and works on binary bits concept where information represents in the form of 2 states, either...
Data mining techniques are employed in online usage mining to evaluate user behavior on web pages and uncover usage patterns. There has been a dramatic uptick in interest in web usage mining from academics and industry professionals alike....
The Structure of the drone, which includes the frame, propeller, engine, power system, electronic control, and communication systemis covered as the first aspect of this article about drones and their applications. One device is called an a...
Cloud computing has transformed the IT industry by enabling convenient access to data, programs, and files over the Internet. A variety of load balancing algorithms, including Round Robin, ESCE, Min-Min, Max-Min, and Throttled, are covered...
Ad hoc networks are made up of groups of similar nodes, such as computers or embedded devices. Each node works on its own and talks to the others through a wireless channel. Networks like these are made up of groups of nodes that are either...
The Internet of Things is a vast system of interconnected devices. These gadgets are becoming increasingly commonplace in vital applications. As a result, cybercriminals are directing more of their attention toward the IoT. To protect the...
The rapid expansion of tourism has necessitated the provision of weather information to guarantee the safety, convenience, and improved travel experiences of travelers. An innovative solution is provided by an IoT-based weather monitoring s...
This paper puts forward an approach that combines Convolutional Neural Networks (CNNs) and Genetic Algorithm (GA) to detect accurately and quickly the diseases that affect potato leaves swiftly and accurately. The model of the CNN is employ...
The extensive usage of IoT sensors significantly improved the collection and monitoring of data within various application domains, such as smart agriculture and industrial automation. On the other hand, the great dependence on IoT sensors...
