Cardio Vascular Disease poses a substantial worldwide health problem, highlighting the urgent requirement for the development of precise and more efficient diagnostic techniques. Existing studies have provided useful ...
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With the advent of mobile smart devices and ubiquitous network connections, digital images can now be conveniently captured, edited, and shared online worldwide. The ever-increasing number of pictures poses a technica...
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In the financial industry, identifying user intent from text inputs is crucial for various tasks such as automated trading, sentiment analysis, and customer support. One important component of natural language process...
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Virtual reality (VR) technology offers potential opportunities for the assessment and intervention of Attention-Deficit Hyperactivity Disorder (ADHD). This research article presents a study evaluating the effectivenes...
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Crop diseases have a significant impact on plant growth and can lead to reduced *** methods of disease detection rely on the expertise of plant protection experts,which can be subjective and dependent on individual ex...
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Crop diseases have a significant impact on plant growth and can lead to reduced *** methods of disease detection rely on the expertise of plant protection experts,which can be subjective and dependent on individual experience and *** address this,the use of digital image recognition technology and deep learning algorithms has emerged as a promising approach for automating plant disease *** this paper,we propose a novel approach that utilizes a convolutional neural network(CNN)model in conjunction with Inception v3 to identify plant leaf *** research focuses on developing a mobile application that leverages this mechanism to identify diseases in plants and provide recommendations for overcoming specific *** models were trained using a dataset consisting of 80,848 images representing 21 different plant leaves categorized into 60 distinct *** rigorous training and evaluation,the proposed system achieved an impressive accuracy rate of 99%.This mobile application serves as a convenient and valuable advisory tool,providing early detection and guidance in real agricultural *** significance of this research lies in its potential to revolutionize plant disease detection and management *** automating the identification process through deep learning algorithms,the proposed system eliminates the subjective nature of expert-based diagnosis and reduces dependence on individual *** integration of mobile technology further enhances accessibility and enables farmers and agricultural practitioners to swiftly and accurately identify diseases in their crops.
Skin problems are common health issues around the world, and effective treatment frequently requires an accurate and prompt diagnosis. The objective of this work is to use federated learning to enable dermoscopic anal...
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Advanced Multimodal Conversational Bot powered by the LLama 2 model, which has 13 billion parameters. The bot can provide personalized song recommendations that are flexible across languages. It uses text, and audio i...
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The research presents a new efficient machine learning method to classify brain tumors because this task remains vital in fighting the high incidence of brain cancers. The proposed approach unites all its operations i...
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This paper provides a thorough survey of strategies and innovations crucial for sustaining marine species. Examining challenges such as overfishing and pollution, it highlights the severe threats to marine biodiversit...
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The proposed work introduces an innovative recruitment approach integrating LinkedIn web scraping to compile a comprehensive dataset of job descriptions and essential skills. Utilizing a pioneering Word2Vec-driven mac...
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