Info
Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy / / edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy
| Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy / / edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (228 pages) |
| Disciplina | 006.3 |
| Collana | Green Energy and Technology |
| Soggetto topico |
Electric power production
Computational intelligence Algorithms Energy policy Electrical Power Engineering Mechanical Power Engineering Computational Intelligence Energy Policy, Economics and Management |
| ISBN | 3-319-69889-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic descriptions of computational intelligence algorithms (single, hybrid, ensemble, integrated and etc -- Credible sources of energy datasets -- Applications of computational algorithms in energy -- Practical application of cuckoo search and neural network in the prediction of OECD oil consumption -- Hybrid of Fuzzy systems and particle swarm optimization in the forecasting gas flaring from oil consumption -- Forecasting of OECD gas flaring using Elman neural network and cuckoo search algorithm -- Artificial bee colony and neural network for the forecasting of Malaysia renewable energy -- Soft computing methods in the modelling of OECD carbon dioxide emission from petroleum consumption -- Modelling energy crises based on Soft computing -- The forecasting of WTI and Dubai crude oil prices benchmarks based on soft computing -- A new approach for the forecasting of IAEA energy -- Modelling of gasoline prices using fuzzy multi-criteria decision making -- Soft computing for the prediction ofAustralia petroleum consumption based on OECD countries -- Future research problems in the area of computational intelligence algorithms in energy. . |
| Record Nr. | UNINA-9910337596503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bring Your Own Device Security Policy Compliance Framework / / by Rathika Palanisamy, Azah Anir Norman, Miss Laiha Mat Kiah, Tutut Herawan
| Bring Your Own Device Security Policy Compliance Framework / / by Rathika Palanisamy, Azah Anir Norman, Miss Laiha Mat Kiah, Tutut Herawan |
| Autore | Palanisamy Rathika |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 196 p. 26 illus., 13 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Engineering - Data processing
Data protection Computer security Computer networks - Security measures Data Engineering Data and Information Security Security Services Principles and Models of Security Mobile and Network Security |
| ISBN | 3-031-86801-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Bring Your Own Device -- Theoretical Framework and Hypotheses Development -- Research Methodology -- Analysis, Results and Discussion -- Conclusion and Future Work. |
| Record Nr. | UNINA-9910991163803321 |
Palanisamy Rathika
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Innovation in Knowledge Management : Proceedings of the 11th Knowledge Management International Conference (KMICe 2024) / / edited by Zahurin Mat Aji, Rohaida Romli, Shafinah Farvin Packeer Mohamed, Mohamed Ali Saip, Tutut Herawan
| Digital Innovation in Knowledge Management : Proceedings of the 11th Knowledge Management International Conference (KMICe 2024) / / edited by Zahurin Mat Aji, Rohaida Romli, Shafinah Farvin Packeer Mohamed, Mohamed Ali Saip, Tutut Herawan |
| Autore | Mat Aji Zahurin |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (794 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RomliRohaida
Packeer MohamedShafinah Farvin SaipMohamed Ali HerawanTutut |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-91485-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911010524903321 |
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Mat Aji Zahurin
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment : ICAISE’2024, Volume 1 / / edited by Yousef Farhaoui, Tutut Herawan, Agbotiname Lucky Imoize, Ahmad El Allaoui
| Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment : ICAISE’2024, Volume 1 / / edited by Yousef Farhaoui, Tutut Herawan, Agbotiname Lucky Imoize, Ahmad El Allaoui |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XIV, 754 p. 307 illus., 260 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
| ISBN | 3-031-88304-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Enhancing Customer Segmentation with Unsupervised Deep Learning -- Development of an EEG Controlled Soft Robotics-Based Active Hand Prosthesis for Enhanced Functionality -- RCSF & IOT In Monitoring of Obstructive Sleep Apnea -- Artificial Intelligence full potential yet attained in the e participation -- Recognition of American Sign Language using hard voting -- Smart Intrusion Detection System in Cloud Computing : A Systematic Review -- Enhancing last mile delivery efficiency through connected vehicle technology and collaborative logistics A systematic literature review -- A Review of some Semantics Methods for Translating Moroccan Text to Moroccan Sign Language -- Analysis of Depressed Patients' Sentiments towards Treatment AI Approach for Healthcare Professionals -- Understanding AI and Google's broader efforts in AI -- Integration of Generative AI and Multimodal Deep Learning for Early Detection of Chemotherapy Induced Cardiotoxicity -- Optimizing Workforce Stability Machine Learning Approaches for Predicting Employee Attrition -- XAI Driven Credit Risk Modeling A Comparative Analyses of Model Performance and Interpretability -- Adaptive Machine Learning Based Intrusion Detection Systems for IoT Networks A Dynamic Approach -- The nexus between renewable energy and Industry 5.0 A Data Driven Approach -- Integrating Augmented Reality and IoT Sensors for Advanced Real Time Greenhouse Control -- Design of Compact Band pass Filter Using Metamaterial Cell Unit Structures for Modern Communication Systems -- Feature Selection Techniques for Linear Regression in Solar Irradiance Forecasting -- A Survey on Image based ulcer detection -- Enhancing Cyber Resilience through AI Driven Phishing Tests and Gamified Learning -- Identifying and Preventing Fraudulent Activities in Financial Transactions Using Artificial Intelligence -- A Novel Deep Clustering Approach to Assess Dominance Between Solutions of a Multi-Objective Optimization Problem -- Harnessing artificial intelligence in mobile health for diabetes management: A systematic review -- Advances in Solar Energy Forecasting: Integrating Machine Learning and Hybrid Approaches -- Mathematical Modeling of Monetary Poverty by K-Nearest Neighbors Algorithm -- The effects of Fintechs on the Financial Performance: An Empirical Study Based on Moroccan innovative companies -- Machine learning for water resources in Morocco rapid review -- Assessing Territorial Attractiveness in Moroccan Provinces: A Structural Modeling Approach -- Intelligent Radar Systems A Comprehensive Study of Cognitive Radar's Evolution and Principles -- Use of Deep Learning Techniques for Classification and Prediction of High School Students Needing Academic Support -- A high gain and wideband dual port-based metamaterial MIMO antenna for 5G applications -- Machine Learning for Detecting Fake Accounts in OSNs A Review -- Literature Review on Smart Student Orientation Based on Recommendation Systems -- Enhancing Financial Decision Making with Explainable Artificial Intelligence A Case Study in Credit Risk Assessment -- A Novel Deep Ordinal Neural Network Model for Guava Fruit Quality Control -- Enhancing Urban Pollution Reduction via Reinforcement Learning-Based Traffic Light Optimization -- Optimization of a system to enhance photovoltaic module performance while producing thermal energy -- Improved Fault Classification in Photovoltaic Panels Using kNN Machine Learning -- Nudging Users Towards Embracing Electronic Payments -- CNN and Vision Transformer Models for Detecting Cheating in Online Examinations A Comparative Evaluation -- Conception of a Symmetric Fully Homomorphic Protocol based on Gentry Scheme -- Lane Detection using Computer Vision Techniques -- Design and Optimization of Fractal Multiband Antenna for mmWave Applications -- Comparative Analysis of Supervised Machine Learning Classification Models -- Toward a QoS improvement in IoT by Combining Fuzzy Logic and Machine Learning Algorithms -- AI integration in finance a shortfall -- A Deep Learning Framework for Pedestrian Detection from FMCW Radar Data -- Pruning and Quantization of CNN Based Intrusion Detection Systems for Cyber-Physical Systems -- Efficient Data Preprocessing for Ecological Quality Assessment in Marine Environments -- Comparative Analysis of Advanced Deep Learning Models for Depression and Suicide Detection on Social Media -- Metrics of Attractiveness: Developing a synthetic index for the territorial attractiveness of small towns in Morocco -- Optimizing Post Quantum Blockchain Performance Through Adaptive Block Segmentation: A Comparative Study -- Machine learning approach for the classification to overcome traffic sign detection challenge -- Hybrid Approach for IoT based Medical image Encryption and Compression using Modified AES and Chaos Theory -- Study and design of a new "MIMO" printed antenna structure for industrial, scientific, and medical applications -- A Hybrid Method for Student Engagement Recognition Using Handcrafted Features and Vision Transformer -- The impact of Artificial Intelligence on Healthcare : A Comprehensive Review -- Optimal location of high/low voltage transformer stations by K-Means method and scheduling of electric meters -- Intelligent Information Processing in CRM Through Big Data Analytics: A Systematic Literature Review -- A Review on Artificial Intelligence for Water Treatment by desalination Using Reverse Osmosis -- Introduction to Quantum-Resistant Cryptography in Payment Systems -- Advanced Sarcasm Detection in Arabic Text Integrating AraBERT with Sequential RNN Layers -- Virtual Resource Optimization using Artificial Intelligence in Hyperconverged Environment -- Gene Selection for Cancer Classification Using Minimal Dominant Independent Set -- Quantum Assisted Hyperparameter Tuning Challenge for Financial Fraud Detection -- Ara-DAQUAR Into Arabic Question Answering on real world images -- Optimizing Energy Management in Smart Environments A Review of Strategies, Challenges, and Future Directions -- Research, ethics and artificial intelligence challenges and opportunities -- Enhancing Scalability and Performance in Big Data Query Processing: A Multi Faceted Approach -- Predicting Employee Turnover with Explainable AI -- Multi machine learning models for blood donor prediction: A data analysis and visualization approach -- Predicting Customer Gender Based on E Commerce Activity Patterns -- A Survey on ZigBee Indoor Distance Measurement -- Arabic Handwritten Words Recognition and Classification using Autoencoder Deep Learning -- Revolutionizing Breast Cancer Detection with Cutting-Edge Convolutional Neural Networks -- Hybrid Deep Learning and Machine Learning Models for Early and Accurate Detection of Diabetic Retinopathy -- A Multi Layered Protection System for Enhancing Data Security in Cloud Computing Environments -- Blockchain Driven Health Security through Machine Learning Adoption -- Contextual Analysis of Big Data Analytics in Intelligent Transportation Frameworks -- The Impact of Artificial Intelligence in Scientific Research -- Artificial intelligence and leadership: trends and challenges of a relationship under construction -- Detection of Pneumonia using Deep Learning Algorithms: Yolo V5 and CNN on X Ray Images -- Preserving Privacy during BI to Cloud Migration An Automated Approach to Data Anonymization -- Opportunities offered by AI for urban planning -- Advancing Early Oral Cancer Detection with Image Processing and AI -- Enhancing Fraudulent Activity Detection in Credit Card Transactions with Adaptive Boosting and Voting -- A Gender Based Targeted Advertisement System -- Development of an Intelligent Health Prediction System for Comprehensive Human Body Analysis -- Real Time IoT Based Farm Monitoring and Decision Support System Using Random Forest Algorithm -- Design and Operational Insights of IoT-Integrated Hydroponics Systems Using Fog Computing for Sustainable Urban Agriculture -- Scoping Review of YOLO Applications in Emergency Vehicle Detection -- Enhancing Deep Learning Models for Date Palm Disease Classification through Advanced Attention Mechanisms -- Moroccan Dates in a Circle of Danger Due to Successive Oasis Fires -- Towards an architecture for an automated cryptocurrency algorithmic trading system -- Balancing Data Protection in The Age of Digitization -- Plant disease classification using deep learning and the hyperband strategy -- Ensemble learning based bitcoin daily price log return forecasting -- Data privacy in the light of Big Data -- Classifying ECG Signals using LSTM and RNN -- Innovative HR Technologies for the Modern Workforce. |
| Record Nr. | UNINA-9911001782403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment : ICAISE’2024, Volume 2 / / edited by Yousef Farhaoui, Tutut Herawan, Agbotiname Lucky Imoize, Ahmad El Allaoui
| Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment : ICAISE’2024, Volume 2 / / edited by Yousef Farhaoui, Tutut Herawan, Agbotiname Lucky Imoize, Ahmad El Allaoui |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XIV, 734 p. 277 illus., 250 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
| ISBN | 3-031-90921-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Heart Disease Healthcare Prediction Based on Enhanced Linear Support Vector Machine -- Exploring the Role of Multimodal People Analytics Platforms in Enhancing Human Resource Management Practices -- Enhanced Detection and Classification of Chronic Kidney Disease Using a Recurrent Neural Network Model -- A Game-based Learning approach of Google Interland -- Construction and Prediction of American Sign Language Using Deep Learning -- Comparative Study of Machine Learning and Deep Learning Models for Prediction and Detection of Forest Fire -- The photovoltaic in Moroccan buildings energy, environmental, economic and job creation forecast analyses -- Metamaterials for Performance Enhancement of THz Patch Antenna for 6G and Biomedical Applications -- The Prosthetic Hand: From Biomimetic Innovation to a Biorealistic Dynamic Approach -- Exploring Event Extraction A Survey of Approaches and Applications -- Forecasting Volatility with Machine Learning Case Study of the Dow Jones Industrial Average Index -- Implementation of a CPML layer using FDTD method case of Electromagnetic Wave Propagation Isotropic Homogeneous Medium -- Pricing European Put Options Using Deep Neural Networks An Application of the Black Scholes Model -- Federated Learning for Intrusion Detection Opportunities and Challenges -- Decision Making Process Improvement Through the Internet of Behaviors and Digital Nudges Techniques for Financial Industry Customers -- Efficient Image Segmentation using Dominant Sets -- Comparative Performance Evaluation of Machine Learning Algorithms in Sentiment Analysis -- Enhancing Quality of Service in 5G/6G Networks Innovative Approaches -- Cryptocurrency price forecasting A comparative analy-sis of machine learning and deep learning methods -- Impact of Artificial Intelligence on the Informal Sector in Emerging Economies -- Hybrid model based on CNN-LSTM-AM with BiLSTM for short-term gold price prediction -- AI and Blockchain in IoT for a Robust Edge Based RFID Healthcare System -- Integration of Artificial Intelligence in Sales Funnels for Personalized Recommendations in E commerce -- Comparison between IPv4 and IPv6 in order to economize the energy for the Wireless Sensor Network -- AI Driven Optimization for Energy-Efficient Task Offloading in Mobile Edge Computing -- Integration of MQTT and CoAP Protocols in OneM2M for IoT Applications -- Vis-To-Nav: Visual Autonomous Navigation for Mobile Robots with a Limited Field of View -- A Robust RFID-Authentication Scheme using Elliptic Curve Cryptography for IoT-Healthcare Ecosystem -- Optimization of K Nearest Neighbors for Hematoma Prediction in Totally Implantable Venous Access Ports -- Delving into scientific utilization of Minecraft An overview -- Extreme gradient boosting and support vector regression for PV Energy forecasting case amorphous silicon grid connected PV system -- A state of the art of blockchain based image watermarking -- Machine Learning Boosting Techniques for Predicting TIVAP Obstructions -- Securing the Future of Healthcare Analyzing Cybersecurity Vulnerabilities for Confidentiality and Privacy in IoMT Devices -- Modeling Provincial Attractiveness A Clustering Approach to Regional Development in Morocco -- Optimizing the Vehicle Routing Problem in Solid Waste Management Using Artificial Intelligence -- Innovative Reinforcement Learning agent for HVAC Control in Residential Buildings A BOPTEST Evaluation -- Advanced Machine Learning for Cybersecurity A Robust Dataset and Evaluation of IDS Algorithms -- Overview of Biomedical Ontologies -- Computational Analysis of Human Locomotor patterns in Virtual Carpet Paradigm Using Ant Colony Algorithm -- Orwellian Odyssey Smart Borders and the Imperative for Explainability -- A novel method for generating Ultrasound Report Generation using A multi modal feature fusion -- Enhanced Facial Recognition using Parametrized ReLU Activation in Convolutional Neural Networks -- Exploring the Applications of the Internet of Things in Education and Training Innovations and Future Perspectives -- Smart environment and patient experience a systematic literature review -- Intelligent Systems in the Public Sector A Bibliometric Analysis of Trends, Themes, and Future Directions -- Enhancing Student Attendance Systems Using Palmprint Biometrics with EfficientNet and Vision Transformer Models -- Integration of Machine Learning Algorithms in Sentiment Analysis of Arabic Language on Social Media Study and Performance -- The Evolution of Teaching and Training in the Age of Artificial General Intelligence Opportunities, Challenges, and Ethical Considerations -- Load Frequency Control of a Microgrid Employing a Fuzzy PID Controller based Hybrid Algorithm Hpsogwo -- Machine Learning Based Approach for Railway Switch and Crossing System Diagnosis -- Modeling and Energy Study of a Photovoltaic Thermal (PV/T) -- A Novel Wideband Four Ports MIMO Antenna For mm wave 5G Applications -- Optimal location of high/low voltage transformer stations by K Means method and scheduling of electric meters -- Advancements and Challenges in AI Driven Medical IoT Systems for Personalized Healthcare -- Leveraging Federated Learning for Detecting Fraud in Banking Systems -- A hybridized simulated annealing algorithm for solving the multi compartment vehicle routing problem with stochastic customers -- Integration of Multi Agent Systems in Intelligent Tutorial Systems -- Fine Tunning a French Language Model for Identifying Emergency Queries in Diabetes Chatbot -- Advancements in Cervical Cancer Diagnostic Using Deep Learning A State of the Art Review -- Enhancing IoT security with a Decentralized Collaborative Intrusion Detection System Using IPFS and Blockchain Technology -- Graph Convolutional Network for Link Prediction in Social Networks -- Deep Learning Based Sentiment Analysis of Coursera Reviews Using LSTM Neural Networks -- Modeling Water Quality Based on Environmental Factors in the Moulouya River Basin An Ensemble Learning Approach -- A Comprehensive Review of AI-empowered IoT services in 6G Networks, Emerging Technologies and Innovative Applications -- Alcoholic EEG Classification Multichannel FFT Image -- The Role of Artificial Intelligence in Shaping the Future of Business Operations -- Artificial intelligence and writing: trends and future directions in the social sciences -- ZigBee Wireless Sensor Network Design for Environmental Monitoring -- Artificial intelligence and its impact on the mental health field -- Industry 4.0 and Sustainable Development Evolving from Eco-friendly Economic Models to Digital Sustainability -- Deep Learning Based Classification of Diabetic Risk Using LSTM RNN Method -- A Hybrid Deep Learning Approach for Anomaly Detection in Big Data Environments -- A generic interest oriented recommender system framework -- Integration of Smart Sensors and Machine Learning for Enhanced Soil Health Monitoring in Precision Agriculture -- Machine Learning Techniques in Cloud Based Intrusion Detection -- Blockchain Technology in Forensic Evidence Management -- Enhanced lightweight encryption for energy efficiency and security in wireless Sensor networks -- Optimizing Hyperparameters for Fraud Detection A Comparative Analysis of Machine Learning Algorithms -- Intelligent systems for tourism development -- Digital Economy and Consumer Purchase Decisions in Retail Appliance Stores in Ecuador -- Encryption with Identity Based Approach for Versatile Encrypted Data Sharing in Public Cloud -- Cloud Infrastructure: Business Intelligent Systems with Machine Learning Techniques -- Blockchain Architecture Enhancing Security in Cloud Computing -- The use of immersive technologies and “serious games” in the context of professional training -- Crowd Anomaly Detection Using Convolution Neural Networks enhanced with Hyper Parameter Model -- Energy Efficient Spectrum Sensing and Detection of Byzantine Attacks in Cognitive Radio Networks Using Machine Learning -- Advancing Vehicle Detection YOLOv5 Innovations for Enhanced Transformation Systems -- Deep Learning based Face Authentication using Recursive Convolution Neural Network -- Blockchain Powered Solar Synergy Advancing Morocco's Renewable Energy Vision -- Evaluating CNN and Hybrid CNN LSTM Models for Arabic Handwritten Character Recognition -- Bricks charting and deep learning model for cryptocurrency forecasting -- Graph Based Matching for High Resolution Images Using SIFT Features and ML Metrics -- Fake Bot Detection on Social Media An eXplainable AI (XAI) Framework using DistilBERT -- Enhancing Handwritten Character Recognition Using a Hybrid SVM CNN Model -- A Fully Convolutional Neural Network Approach for Document Text Detection -- A Comparative Analysis of Transformer Models for the Prediction of Arabic Punctuation -- Highlighting Real Time Information impact on passenger perception of bus service quality and satisfaction -- Solar Energy Prediction in Holy City of Mecca Using LSTM Enhanced with ICA, PCA, CSP, and DWT. |
| Record Nr. | UNINA-9911007460203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) / / edited by Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy
| Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) / / edited by Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xxi, 730 pages) : illustrations (some color) |
| Disciplina | 004 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Data mining Database management Computational Intelligence Data Mining and Knowledge Discovery Database Management |
| ISBN |
9789814585187
9814585181 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Preface""; ""Acknowledgments""; ""Conference organisation""; ""Steering Committee""; ""Chair""; ""Publication Chair""; ""Program Committee Chair""; ""Organizing Chair""; ""Student Committee""; ""Program Committee""; ""Workshop on Recent Advances in Information Systems""; ""Workshop on Mining Educational Data for Effective Educational Resources""; ""Contents""; ""Part I: Database Theory""; ""A Log File Analysis Technique using Binary-BasedApproach""; ""1 Introduction""; ""2 Literature Review""; ""3 Proposed Binary-Based Log File Analysis Technique""; ""4 Experimental Results""
""5 Conclusion""""References""; ""An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets""; ""1 Introduction""; ""2 Literature Reviews""; ""3 Methodology""; ""3.1 Cardiac Surgery Data""; ""3.2 Undersampling and Oversampling""; ""3.3 Bagging and Boosting""; ""3.4 Model Performance Measures""; ""4 Results""; ""5 Conclusion""; ""References""; ""Excel-Database Converting System using DataNormalization Technique""; ""1 Introduction""; ""2 Related Work""; ""3 Methodology""; ""4 Results and Discussions""; ""4.1 Data Gathering - Interview"" ""4.2 System Flow""""4.3 Normalization Algorithms""; ""4.4 User Interface""; ""4.5 Testing""; ""5 Conclusion""; ""References""; ""Model for Automatic Textual Data Clustering inRelational Databases Schema""; ""1 Introduction""; ""2 Related studies""; ""3 Incremental and Dynamic Repository and Semantic Query""; ""3.1 Incremental and Dynamic Repository""; ""3.2 Semantic Operator in SQL""; ""4 Conclusion""; ""References""; ""Sampling Semantic Data Stream: ResolvingOverload and Limited Storage Issues""; ""1 Introduction""; ""2 Extension to Existing Systems""; ""3 Sampling Methods"" ""3.1 Uniform Random Sampling""""3.2 Reservoir Sampling""; ""3.3 Chain Sampling""; ""4 Experimentation""; ""5 Conclusion""; ""References""; ""Shared-Table for Textual Data Clustering in DistributedRelational Databases""; ""1 Introduction""; ""2 Related Studies""; ""3 Distributed Database Architecture""; ""4 Shared-Table""; ""5 Conclusion""; ""References""; ""Part IIData Warehousing and Mining""; ""A Graph-based Reliable User Classification""; ""1 Introduction""; ""2 User Classification""; ""3 A graph-based reliable user extraction method""; ""3.1 Extracting socially well-known users"" ""3.2 Extracting reliable and highly active users""""5 Conclusion""; ""4 Experiments and Evaluation""; ""References""; ""A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training""; ""1 Introduction""; ""2 Related Works""; ""2.1. An Overview of Functional Link Neural Network""; ""2.2. FLNN learning Scheme""; ""2.3. Artificial Bee Colony Optimization""; ""3 Proposed Learning Scheme""; ""4 Experimentation""; ""5 Result and Discussion""; ""6 Conclusion""; ""Acknowledgement""; ""References""; ""A Review on Bloom Filter Based Approaches for RFIDData Cleaning"" ""1 Introduction"" |
| Record Nr. | UNINA-9910299712403321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) / / edited by Jemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan
| Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) / / edited by Jemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (624 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Data mining Database management Computational Intelligence Data Mining and Knowledge Discovery Database Management |
| ISBN | 981-13-1799-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Database Theory and Applications -- Chapter 1. A New Approach to Secure and Manage Load Balancing of the Distributed Database using SQL Firewall -- Chapter 2. Object-Based Simulators for Large Scale Distributed Virtual Environment -- Chapter 3. 1P1O: A Large Scale Distributed Virtual Environment -- Chapter 4.Optimize Performance Load Balancing Techniques using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review -- Chapter 5.Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model -- Chapter 6.DGMS: Dataset Generator Based On Malay Stemmer Algorithm -- Chapter 7.A Survey of UML Tools -- Chapter 8.Hybrid Landscape Change Detection Methods in a Noisy Data Environment -- Part 2: Data Warehousing and Mining -- 9.Concept Based Lattice Mining (CBLM) Using Formal Concept Analysis (FCA) for Text Mining -- 10. 2M-SELAR: A Model for Mining Sequential Least Association Rules. |
| Record Nr. | UNINA-9910483802303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances on Soft Computing and Data Mining : The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings / / edited by Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris
| Recent Advances on Soft Computing and Data Mining : The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings / / edited by Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXI, 649 p. 201 illus., 113 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery |
| ISBN | 3-319-51281-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cluster Validation Analysis on Attribute Relative of Soft Set Theory -- Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm -- Optimization of ANFIS using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs -- Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Series -- A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site -- Formation Control Optimization for Odor Localization -- A New Search Direction for Broyden’s Family Method in Solving Unconstrained Optimization Problems -- Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task -- Artificial Neural Network with Hyperbolic Tangent Activation Function to Improve the Accuracy of COCOMO II Model -- A study of data imputation using Fuzzy C-Means with Particle Swarm Optimization. . |
| Record Nr. | UNINA-9910157638103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances on Soft Computing and Data Mining : Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaJune 16th-18th, 2014 / / edited by Tutut Herawan, Rozaida Ghazali, Mustafa Mat Deris
| Recent Advances on Soft Computing and Data Mining : Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaJune 16th-18th, 2014 / / edited by Tutut Herawan, Rozaida Ghazali, Mustafa Mat Deris |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (697 p.) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery |
| ISBN | 3-319-07692-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Soft Computing Track -- Data Mining Track -- Workshop on Nature Inspired Computing and Its Applications -- Workshop on Machine Learning for Big Data Computing. |
| Record Nr. | UNINA-9910299757403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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