Titlebook: Intelligent Systems in Computing and Communication; First International Shreekumar T.,Dinesha L.,Sreeja Rajesh Conference proceedings 2025

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Enhanced Satellite Image Fusion Using Deep Learning and Feature Extraction Techniques: A Surveymethods. The research analyses the inadequacies of current fusion models and suggests novel methods for feature extraction, visual sensor networks, remote sensing applications, medical imaging, and multi-resolution image fusion. The study demonstrates the advantages of deep learning techniques for i

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Intelligent Aircraft Antiskid Braking Systems – A ReviewAABS designs that are based on conventional heuristic algorithms fail to generate desired responses when exposed to unpredictable nonlinearities such as actuator and sensor faults and variations in aircraft dynamics. AI techniques such as Artificial Neural Networks (ANN), Fuzzy logic and Machine Lea

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Artificial Neural Networks Applied in the Detection of Breast Cancerbreast cancer identification is essential to speeding up diagnosis; however, current approaches frequently have extensive analysis durations. In order to address this, we investigate the usage of neural networks (NN) and concentrate on the backpropagation technique in particular. We found deficienci

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Supervised and Unsupervised Learning Techniques for Malware Classification Based on Opcode Frequency is designed to disrupt computer systems intentionally. The sophistication of malware has heightened, rendering it more challenging to detect. Notably, malware and benign files utilize opcodes differently, leading to variations in opcode usage frequencies. Malware files more frequently invoke some o

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Predictive Analytics for Diagnosing Alzheimer’s Disease Using Artificial Intelligence and Machine Lere industry. Machine Learning has become predominant in the healthcare industry for predicting various diseases that cause severe health issues in humans. One such disease is Alzheimer’s, a common neurological condition that affects a sizable number of the elderly population. Although the symptoms o

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Dhruv Singhal,Deepanshu Verma,Ankita Nainwal,B. Dhananjaya,Garima Sharmaencies can hamper and even harm the professional response to disasters. To help and heal, one must know and understand the cultural background of disaster victims. Ethnocultural Perspectives on Disaster and Trauma offers readers substantive knowledge in these three vital areas of disaster response..

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