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共 5957 条记录，以下是11-20 订阅

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A systematic review of deep learning and machine learning tools for predicting and classifying pediatric genetic disorders 4th

A systematic review of deep learning and machine learning to...

引用

4th international conference on Computational Methods in science and Technology, ICCMST 2024

作者： Ishdeep Gagandeep Research Scholar Computer Science and Engineering IK Gujral Punjab Technical University Punjab Kapurthala India Punjab India

ISBN: (纸本)9781032911571

there are various hurdles in the field of Genetic ailments in children, particularly in the realms of timely identification and management. Conventional diagnostic techniques often encounter obstacles such as protracted methods and resource-demanding procedures, hampering timely diagnosis and treatment. this paper investigates the Capability of advanced computing, specifically machine learning and deep learning techniques, to address these challenges. By harnessing available AI (artificial Intelligence) technologies, scholars and scientists aim to enhance the effectiveness and precision of paediatric genetic healthcare, ultimately enhancing outcomes for children with genetic disorders. through a comprehensive review of existing literature, this paper review investigates the state-of-the-art AI techniques employed in the prediction and classification of pediatric genetic disorders. Despite challenges such as data availability and algorithm validation, AI presents promising opportunities for revolutionizing paediatric genetic healthcare, paving the way for prompt detection, personalized therapy, and improved recipients outcomes. © 2025 the Author(s).

关键词： Pediatrics

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Emotion recognition system using CNN and open CV 4th

Emotion recognition system using CNN and open CV

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4th international conference on Computational Methods in science and Technology, ICCMST 2024

作者： Singla, Ishdeep Raj, Pritam Raj, Ayush Vaibhav, Vibhanshu Charishma, Triukula Computer Science and Engineering Chandigarh University Punjab Gharuan India

ISBN: (纸本)9781032911571

Understanding facial expressions is crucial for effective non-verbal communication. Solely relying on spoken words without considering facial cues leads to an incomplete understanding. Traditionally, humans were the exclusive interpreters of facial expressions, but technological progress has now extended this capability to computers [9]. this document acts as a comprehensive guide for facial expression recognition software employing OpenCV, Keras, Tensorflow, & CNN. through Python programming, an algorithm has been developed to perform real-time detection, extraction, & evaluation of facial expressions for automated emotion recognition [10]. Essential facial features are examined to detect expressions, utilizing variations within these features to recognize different emotions. Machine learning algorithms are utilized to train models on diverse image datasets for emotion categorization [11]. the paper explores the live, real-time classification of face expression into 7 universal human emotions— Angry, Disgust, Fear, Happy, Neutral, Sad, & Surprise—using a vision system specifically designed for emotion recognition. © 2025 the Author(s).

关键词： Emotion Recognition

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Unlocking the power of generative pre-training: A GPT-3 based conversational ai framework 4th

Unlocking the power of generative pre-training: A GPT-3 base...

引用

4th international conference on Computational Methods in science and Technology, ICCMST 2024

作者： Singla, Ishdeep Sharma, Mayank Dubey, Shivam Aditya Tyagi, Ayush Tiwari, Rahul Computer Science and Engineering Chandigarh University Mohali India

ISBN: (纸本)9781032911571

A research investigates how assistants function as chatbots. these tech gadgets represent a rare and fortunate connection between people and technology. Speechenabled Chatbots or AI-driven systems revolutionize the interaction between individuals and machines, allowing verbal communication within an interactive voice response (IVR) framework, usually in a language that is not artificially created. the article explores the paradigm change introduced by ECAs and the complex features that distinguish them. We have created a software with an HTML web application interface that can receive inputs in both text and voice forms. this assistant transforms text to speech and converts speech to text commands using advanced synthesis and recognition APIs. To effectively fetch answers, we have incorporated a Closed Domain Question Answering (CDQA) NLP system. An interactive voice response system, commonly referred to as an system, is easy to use. © 2025 the Author(s).

关键词： Application programming interfaces (API)

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Credit card fraud detection using state-of-the-art AI methods 4th

Credit card fraud detection using state-of-the-Art AI method...

引用

4th international conference on Computational Methods in science and Technology, ICCMST 2024

作者： Sharma, Piyush Gagandeep Department of Computer Science and Engineering Chandigarh Engineering College-CGC Landran India

ISBN: (纸本)9781032911571

Credit card fraud has become a major problem in the financial industry, causing huge financial losses for financial institutions and cardholders. Because internet banking and e-commerce are being used more often there have been an exponential rise in the online transaction and similarly in the online fraud happening nowadays. As fraud procedures become more complex, it is clear that legitimate fraud is not sufficient to detect fraud. As a result, machine learning (ML) algorithms are increasingly used for fraud detection due to their ability to adapt to and learn from patterns in data. Various machine learning methods to detect and prevent credit card fraud. this study examines different learning techniques such as logistic regression, decision trees, random forests, support vector machines (SVM), neural networks, and ensemble methods, highlighting their advantages and disadvantages in statistical analysis. Machine learning offers effective solutions for credit card fraud detection, and a comprehensive approach that considers algorithmic robustness, interpretability, and ethics is essential. Future research directions aim to improve the accuracy and efficiency of machine learning-based fraud detection systems while ensuring fairness and transparency. © 2025 the Author(s).

关键词： Logistic regression

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Optimal Recombination Problem in Genetic programming for Boolean Functions 4th

Optimal Recombination Problem in Genetic Programming for B...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

作者： Zakharov, Aleksey Sobolev Institute of Mathematics SB RAS Omsk Russia

ISBN: (纸本)9783031812408

A problem of Boolean function approximation by some set of basic functions is investigated. the solution is constructed by a Boolean functional tree, where leaves are assigned by variables and nodes correspond to basic functions. the objective function is considered as the sum of squared deviations between training set and the solution of the problem. A genetic programming algorithm with a steady state replacement scheme is proposed. In evolutionary process we use a randomized local search and an optimized crossover constructed in accordance with gene transmitting properties and the given objective. Local search is based on the neighbourhood with respect to subtree updating. Experimental evaluations are carried out on instances with even-n-parity and n-mux problems. the experiment shows that optimized operators outperform the randomized versions. We also compare our results with those of some state-of-the-art heuristic algorithms. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Genetic algorithms

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Smart Irrigation Systems: An Overview of Current Trends and Technologies 4

Smart Irrigation Systems: An Overview of Current Trends and ...

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Habib, Rawshan Al-Amin Alrashed, Abdelrhman Mouly, Fariha Jahan Avi, Shuva Dasgupta School of Engineering and Information Technology Murdoch University Murdoch Australia Ahsanullah University of Science & Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798331523923

Nowadays, irrigation accounts for almost 70% of global water usage. therefore, it is essential to design irrigation systems in such a way that it can reduce water usage as well as the expense. Making eco-friendly irrigation systems is another challenge for researchers. To overcome these problems, a variety of appliances and systems combining state-of-the-art software and hardware features have been developed. Yet, research on smart irrigation systems is ongoing. To have a comprehensive understanding of the prospective and continuing instance, this study presents an overview of recent advancements in smart irrigation systems. A variety of irrigation system designs are addressed, including solar-powered, Wireless Sensor Network (WSN)-based, and Internet of things (IoT)-based systems. the authors firmly expect that this research will significantly influence the most recent developments in smart irrigation systems. © 2025 IEEE.

关键词： Smart agriculture

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812439

the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and Algorithms. the topics include: Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep Learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global Optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms;an Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems;GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large Systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent Systems With the Use of Parallel Hybrid Genetic Algorithm;DC Optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite programming (GSIP);miniaturisation of Binary Classifiers through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear programming Under Interval Uncertainty;machine Learn

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812408

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812460

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artificial Intelligence for Cybersecurity: A State of the art 4

Artificial Intelligence for Cybersecurity: A State of the Ar...

引用

4th IEEE international conference on artificial Intelligence in Cybersecurity, ICAIC 2025

作者： Siam, Abdullah Al Hassan, Md Maruf Bhuiyan, Touhid Daffodil International University Department of Software Engineering Dhaka Bangladesh Southeast University Department of CSE Bangladesh Washington University of Science and Technology School of IT VA United States

ISBN: (纸本)9798331518882

the goal of this study is to analyze the role of artificial intelligence (AI) in cybersecurity by analyzing the strengths of many key AI techniques, including machine learning (ML), deep learning (DL), natural language processing (NLP), and anomaly detection algorithms. We conducted a detailed literature assessment on current research to assess the applicability of AI approaches in cybersecurity. Principal methodologies examined include machine learning for behavioral analytics, deep learning for malware detection, natural language processing for phishing identification, and anomaly detection for intrusion detection. artificial intelligence approaches significantly enhance cybersecurity, with each strategy providing distinct functionalities. this study's distinctive contributions are its comparative assessment of approaches, emphasizing their strengths and practical applications in cybersecurity while addressing present issues and future avenues for improvement. the research suggests that a combination of AI in cybersecurity that merges these strategies could provide a significant increase in digital security. these findings bring substantial value by identifying the best scenarios for using each AI approach in cybersecurity. © 2025 IEEE.

关键词： Cybersecurity

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