The proceedings contain 58 papers. The topics discussed include: development of a low cost IoT integrated system in precision smart garden;spectral and morphological classification of celestial objects using physics i...
ISBN:
(纸本)9798331534400
The proceedings contain 58 papers. The topics discussed include: development of a low cost IoT integrated system in precision smart garden;spectral and morphological classification of celestial objects using physics informed machine learning;development of an accelerometer-based data acquisition system for hand gesture recognition;lung cancer prediction and risk assessment: a machine learning approach integrating symptoms and etiological factors;a comparative analysis of short-term solar power forecasting using machine learning methods;intelligent fire surveillance: a deep learning framework for accurate indoor fire detection;robust phishing URL classification using FastText character embeddings and hybrid deep learning;and effective disease recognition in cucumbers: a web-based application using transfer learning models.
Diabetic Retinopathy (DR) is a common complication of diabetes that can lead to vision loss. Diabetic Macular Edema (DME) is a related condition where fluid accumulates in the macula, leading to retinal thickening. Ea...
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For the purpose of tracking environmental changes, urbanization, and natural disasters, change detection in satellite imagery is essential. New developments in deep learning, especially by creating 'after' pho...
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The escalation of cybercrime in recent years, moves on by the proliferation of electronic devices, poses a significant threat as users engage in diverse online activities, including financial transactions. Cybercrimin...
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ISBN:
(纸本)9798350372977;9798350372984
The escalation of cybercrime in recent years, moves on by the proliferation of electronic devices, poses a significant threat as users engage in diverse online activities, including financial transactions. Cybercriminals exploit phishing information and manipulate cardholders' account balances to illicitly appropriate funds, presenting challenges in traceability. This study addresses detecting fraudulent banking transactions within customers' account data, characterized by highly imbalanced fraud records. Employing diverse machine learning algorithms, particularly focusing on tree-based approaches, this research reveals that LightGBM and XGBoost exhibit superior performance, with LightGBM demonstrating notable supremacy. The resultant evaluation metric, the Area Under the Curve (AUC), attains a commendable value of 0.94649, underscoring the efficacy of the proposed machine learning models in cybersecurity measures against fraudulent financial activities.
The high number of sentiment analysis systems and applications developed over the last few years provided companies with very sophisticated analysis tools, allowing them to establish preferences, trends and patterns o...
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ISBN:
(纸本)9783031777370;9783031777387
The high number of sentiment analysis systems and applications developed over the last few years provided companies with very sophisticated analysis tools, allowing them to establish preferences, trends and patterns of customer behavior. This is quite important for companies intending to change their way of being, promoting work actions aimed at specific customer segments, to obtain business advantages and improve their image and performance in the market in which they work. In this paper, we present and describe a sentiment analysis system that combine techniques based on ontologies and domain lexicons, to provide relevant indicators to support the evaluation of the degree of user satisfaction and know the influence of each ontological element incorporated in opinion texts in sentiment classification.
AI-driven music generation with emotional intelligence(EI) is a new discipline that blends emotional detection and artificial intelligence to create personalised musical experiences. The Artificial Intelligence(AI) sy...
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Autonomous cars are the new future of the world so they must be reliable and trusted before handing them over to the general public. In order to ensure their reliability, it is important to realize that when naturalis...
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Alzheimer's is one of the progressively debilitating conditions, and it currently affects millions of people worldwide with no definitive medication for treatment. Understanding the nature of this disease is very ...
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Coronavirus pandemic caused by a deadly virus that rapidly spread worldwide, necessitated the usage of face mask to minimize the airborne transmission of the virus. An automated face mask recognition system has made i...
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Strong battery management systems (BMS) are required to guarantee the best possible performance, safety, and longevity of battery packs due to the quick development of electric vehicles (EVs). This study introduces an...
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