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Applied Assistive Technologies and Informatics for Students with Disabilities
| Applied Assistive Technologies and Informatics for Students with Disabilities |
| Autore | Kaluri Rajesh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 371.9 |
| Altri autori (Persone) |
MahmudMufti
GadekalluThippa Reddy RajputDharmendra Singh LakshmannaKuruva |
| Collana | Applied Intelligence and Informatics Series |
| ISBN | 981-9709-14-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Acknowledgment -- Contents -- Chapter 1: Blockchain for Handling the Data in Higher Education -- 1.1 Introduction -- 1.2 Preliminary -- 1.2.1 Blockchain -- 1.2.2 Types of Blockchain -- 1.2.3 Blockchain Working -- 1.3 Recent Works -- 1.4 Technical Aspects -- 1.4.1 Data Acquisition -- 1.4.2 Data Sharing -- 1.4.3 Data Storage -- 1.4.4 Data Interoperability -- 1.4.5 Data Privacy Preservation -- 1.5 Projects -- 1.5.1 Blockcerts -- 1.5.2 Learning Machine -- 1.5.3 Credly -- 1.5.4 Sony Global Education -- 1.5.5 OpenCerts -- 1.6 Conclusion -- References -- Chapter 2: Reshaping the Future of Learning Disabilities in Higher Education with AI -- 2.1 Introduction -- 2.1.1 Exploring the Need for Inclusivity -- 2.1.2 Achieving Through the Challenges -- 2.1.3 A Comprehensive Approach for Inclusive AI Education -- 2.2 Key Components -- 2.3 Technical Perspectives -- 2.3.1 Data Collection and Pre-processing -- 2.3.2 Machine Learning Algorithms -- 2.3.3 Natural Language Processing .(NLP) -- 2.3.4 Model Training and Optimis.ation -- 2.3.5 Accessibility and Universal Design -- 2.3.6 User Interface (UI) and User Experience (UX) -- 2.3.7 Real-Time Feedback and Evaluation -- 2.3.8 Ethical AI Design -- 2.3.9 Security and Privacy -- 2.3.10 Continuous Improvement and Adaptability -- 2.4 Applications -- 2.5 Challenges -- 2.6 Research and Development -- 2.6.1 Research Can Improve Context's Function in AI -- 2.7 Conclusion -- References -- Chapter 3: Virtual Environment Role in Higher Education Students Learning Enhancement with Intellectual Disabilities -- 3.1 Introduction -- 3.2 Related Works -- 3.3 What and Why AR, VR, and XR? -- 3.3.1 Applications of AR -- 3.4 Applications of Virtual Environments for Intellectual Disabilities -- 3.4.1 Extended Reality -- 3.4.2 Digital Twins -- 3.4.3 Metaverse.
3.5 Role of Virtual Environment in Higher Education -- 3.6 Role of Teachers -- 3.7 Present Scenario -- 3.7.1 Common Tools -- 3.7.1.1 KURZWEIL 3000 -- 3.7.1.2 QTrobot -- 3.7.1.3 Aurasma -- 3.7.1.4 Roblox -- 3.7.1.5 Minecraft -- 3.7.2 Ongoing Projects -- 3.7.2.1 IncED -- 3.7.2.2 Fairness Inclusive -- 3.7.2.3 Inclusion TEAM -- 3.7.2.4 ELLeN -- 3.7.2.5 Accessible Peer Interaction with Disabled Youth -- 3.8 Challenges and Limitations -- 3.8.1 Customization -- 3.8.2 Design and Development of Assistive Technology -- 3.8.3 Absence of Production Standards -- 3.8.4 Traditional Classrooms -- 3.8.5 Data Privacy -- 3.9 Conclusion and Future Scope -- References -- Chapter 4: AI Wizards: Pioneering Assistive Technologies for Higher Education Inclusion of Students with Learning Disabilities -- 4.1 Introduction -- 4.2 Literature Survey -- 4.2.1 Learning Disabilities and Higher Education Inclusion -- 4.2.2 Evolution of AI Wizards: A Review of the Literature -- 4.2.3 Features and Functionalities: Insights from Research -- 4.2.4 Impact on Higher Education Inclusion: Case Studies -- 4.2.5 Challenges and Ethical Considerations in AI Wizard Implementation -- 4.3 Understanding Learning Disabilities -- 4.3.1 Definition of Learning Disabilities -- 4.3.2 Impact on Higher Education -- 4.3.3 Prevalence of Learning Disabilities in Higher Education -- 4.3.4 Importance of Inclusive Education -- 4.4 Role of Technology -- 4.4.1 Capabilities of AI Wizards: Harnessing Technology for Inclusion -- 4.4.2 Challenges of AI Wizard Technology Implementation -- 4.5 Comparative Framework -- 4.5.1 Potential Impact on Higher Education Inclusion -- 4.6 Challenges and Considerations -- 4.7 Conclusion and Future Scope -- 4.7.1 Future Scope -- 4.7.2 Conclusion and Reflection -- References -- Chapter 5: The Impact of Virtual Reality and Augmented Reality in Inclusive Education -- 5.1 Introduction. 5.1.1 Background and Rationale -- 5.1.1.1 Technological Evolution in Education -- 5.1.1.2 Inclusivity and Diversity in Education -- 5.1.1.3 The Promise of VR and AR in Inclusive Education -- 5.1.1.4 Scope and Structure of the Chapter -- 5.1.2 Objectives of the Chapter -- 5.1.2.1 To Provide a Comprehensive Overview of VR and AR Technologies -- 5.1.2.2 To Highlight the Relevance of Inclusive Education -- 5.1.2.3 To Examine the Theoretical Framework for Inclusive Education with VR and AR -- 5.1.2.4 To Showcase Practical Applications and Benefits -- 5.1.2.5 To Address Challenges and Considerations -- 5.1.2.6 To Emphasize Collaboration and Future Directions -- 5.1.2.7 To Offer Practical Guidance for Inclusive Education Implementation -- 5.2 Definition of Key Terms -- 5.2.1 Understanding Virtual Reality (VR) -- 5.2.1.1 Concepts and Features -- 5.2.1.2 Applications in Inclusive Education -- 5.2.2 Exploring Augmented Reality (AR) -- 5.2.2.1 Concepts and Features -- 5.2.2.2 Applications in Inclusive Education -- 5.3 Theoretical Framework for Inclusive Education with VR and AR -- 5.3.1 Cognitive and Pedagogical Principles -- 5.3.1.1 Multisensory Learning -- 5.3.1.2 Personalized and Adaptive Learning -- 5.3.2 Inclusive Design and Universal Accessibility -- 5.3.2.1 Addressing Diverse Learning Styles -- 5.3.2.2 Ensuring Equitable Access for All -- 5.4 Enhancing Learning Experiences for Students with Disabilities -- 5.4.1 Immersive and Engaging Learning Environments -- 5.4.1.1 Fostering Active Participation -- 5.4.1.2 Increasing Motivation and Engagement -- 5.4.2 Skill Development and Practice -- 5.4.2.1 Safe and Controlled Simulations -- 5.4.2.2 Enhancing Motor and Cognitive Skills -- 5.4.3 Social Interaction and Communication -- 5.4.3.1 Avatars and Social Simulations -- 5.4.3.2 Building Interpersonal Skills. 5.5 Making Educational Content Accessible and Comprehensible -- 5.5.1 Transforming Textbooks and Materials -- 5.5.1.1 Interactive Visualizations and 3D Models -- 5.5.1.2 Gamified Learning Activities -- 5.5.2 Catering to Diverse Learning Needs -- 5.5.2.1 Audio and Visual Supports -- 5.5.2.2 Language Translation and3 Subtitling -- 5.5.3 Promoting Multilingual Education -- 5.5.3.1 Language Learning Through AR -- 5.5.3.2 Bridging Cultural Gaps -- 5.5.4 Use of Latest Techniques and Tools -- 5.5.4.1 Augmented Reality (AR) -- 5.5.4.2 Virtual Reality (VR) -- 5.6 Challenges and Considerations for Implementation -- 5.6.1 Cost and Infrastructure -- 5.6.1.1 Hardware and Software Requirements -- 5.6.1.2 Budgetary Constraints -- 5.6.2 Design Guidelines for Accessibility -- 5.6.2.1 User Interface and Interaction Design -- 5.6.2.2 Ensuring Compatibility with Assistive Technologies -- 5.6.3 Ethical and Privacy Concerns -- 5.6.3.1 Data Privacy and Security -- 5.6.3.2 Age-Appropriate Content and Guidelines -- 5.7 Collaboration and Future Directions -- 5.7.1 Educator Training and Professional Development -- 5.7.1.1 Educator Training on VR and AR -- 5.7.2 Partnerships Between Developers and Educators -- 5.7.2.1 Co-Creation of Content -- 5.7.3 Research and Innovation in Inclusive AR and VR -- 5.7.3.1 Empirical Research and Best Practices -- 5.7.4 The Road Ahead: Potential Developments and Trends -- 5.7.4.1 Enhanced Accessibility Features -- 5.7.4.2 Personalized and Adaptive Learning -- 5.8 Conclusion -- 5.8.1 Recap of Key Findings -- 5.8.2 Affirmation of VR and AR's Role in Inclusive Education -- 5.8.3 Call to Action for Inclusive Technology Integration -- References -- Chapter 6: Exploring Assistive Technology for Students with Disabilities in Higher Education -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Utilizing AT in Special Education -- 6.3.1 Communication. 6.3.2 Reading -- 6.3.3 Writing -- 6.3.4 Mathematics -- 6.3.5 Hearing and Seeing -- 6.3.6 Placing, Seating, and Flexibility -- 6.3.7 Social Competence and Recreation -- 6.3.8 Regular Livelihoods -- 6.3.9 Organization -- 6.3.10 Computer Access -- 6.4 Significance of Assistive Technology in Different Spheres -- 6.4.1 Impact of AT on Student Education and Their Daily Lives -- 6.4.2 Impact of AT on Young Children -- 6.4.3 Impact of AT on Children with Mild Disorders -- 6.4.4 Impact of AT on Learners with Sensory Disablement -- 6.4.5 Impact of AT on Students with Serious and/or Multiple Disabilities -- 6.5 Challenges in the Use of Assistive Technology -- 6.6 Conclusion -- References -- Chapter 7: Sign Language Recognition-Based Machine Learning Model for Hearing Disabilities Person -- 7.1 Introduction -- 7.1.1 Real-Time Sign Language Interpretation -- 7.1.2 Gesture Recognition and Interpretation -- 7.1.3 Computer Vision Techniques -- 7.1.4 Machine Learning and Deep Learning Models -- 7.1.5 Frontend Development and Integration -- 7.1.6 Dataset Creation -- 7.1.7 Availability and Cost -- 7.1.8 Interpretation Accuracy -- 7.1.9 Processing Time -- 7.1.10 Scalability -- 7.1.11 Subjectivity and Fatigue -- 7.1.12 Proposed System -- 7.1.12.1 Video-Based Sign Language Detection -- 7.1.12.2 Gesture Recognition Using Neural Network Models -- 7.1.12.3 Real-Time Interpretation and Display -- 7.1.12.4 User-Friendly Interface -- 7.2 Dataset Creation and Model -- 7.2.1 Training -- 7.2.2 Integration and Deployment -- 7.3 Advantages -- 7.3.1 Real-Time Communication -- 7.3.2 Increased Availability and Accessibility -- 7.3.3 Cost-Effectiveness -- 7.3.4 Improved Interpretation Accuracy -- 7.3.5 Reduction in Dependency on Human Interpreters -- 7.3.6 Promoting Inclusivity -- 7.3.7 Technological Advancement -- 7.4 Disadvantages -- 7.4.1 Lighting Conditions. 7.4.2 Camera Angle and Position. |
| Record Nr. | UNINA-9910865294803321 |
Kaluri Rajesh
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied Intelligence and Informatics : Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29–31, 2023, Revised Selected Papers / / edited by Mufti Mahmud, Hanene Ben-Abdallah, M. Shamim Kaiser, Muhammad Raisuddin Ahmed, Ning Zhong
| Applied Intelligence and Informatics : Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29–31, 2023, Revised Selected Papers / / edited by Mufti Mahmud, Hanene Ben-Abdallah, M. Shamim Kaiser, Muhammad Raisuddin Ahmed, Ning Zhong |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (494 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
9783031686399
9783031686382 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Emerging Applications of AI and Informatics. -- A Deep Learning-Based Neural Network Model for Autism Spectrum Disorder Prediction. -- Improving a Fuzzy Matching Engine. -- Speech Emotion Recognition: An Empirical Analysis of Machine Learning Algorithms Across Diverse Data Sets. -- A BERT-based Chatbot to Support Cancer Treatment Follow-Up. -- Optimizing Medical Imaging Quality: An In-Depth Examination of Preprocessing Methods of Brain MRIs. -- MindData for Enhanced Entertainment Building a Comprehensive EEG Dataset of Emotional Responses to Audio-Visual Stimuli. -- A Survey on Tools and Techniques of Classification in Educational Data Mining. -- Application of AI and Informatics in Healthcare. -- A Robust and Explainable Deep Learning Method for Cervical Cancer Screening. -- Classifying Depressed and Healthy Individuals Using Wearable Sensor Data: A Comparative Analysis of Machine Learning Approaches. -- Performance Analysis of a Single-Input Thermal Image Classifier with Patient Information for the Detection of Breast Cancer. -- Investigation of HR and QT Variability for Monitoring Sleep Apnea: An Interpretable Machine Learning Approach. -- Transfer Learning-Based Ensemble of Deep Neural Architectures for Alzheimer’s and Parkinson’s Disease Classification. -- Classifying Emotions of Parkinsonian Patients from Electroencephalogram Signals using Efficient Attention Capsule Network. -- Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms with Feature Selection Techniques. -- A Survey on Heart Disease Prediction Using Machine Learning Techniques. -- A Fuzzy Logic-Based Framework for Accurate Detection of Infectious Diseases. -- Application of AI and Informatics in Pattern Recognition. -- A Media-pipe integrated deep learning model for ISL (Alphabet) recognition and converting Text to Speech with Video Input. -- A Driver Fatigue Detection Framework with Convolutional Neural Network and Long Short-Term Memory Network. -- FallGuardian: Wear OS-Based Machine Learning Fall Detection Framework. -- Classification of Different Cancer Types Based on RNA HI-SEQ Data Using Dimensionality Reduction. -- YOLO-V4 Based Detection of Varied Hand Gestures in Heterogeneous Settings. -- Comparative Analysis of Pre-Trained CNN Models for Neurobiological Disease Classification. -- An Overview of Data Security Algorithms in Cloud Computing. -- Application of AI and Informatics in Network, Security, and Analytics. -- Optimizing Round-Robin Scheduling Algorithm Performance in Real-time Systems. -- Enhancing Outdoor Comfort: A Machine Learning Framework for Predicting Comfort Level. -- Augmented Reality in the Fields of Management and Business: A Bibliometric Review of the Literature. -- CDSER: Sentiment Analysis for Product Selection to Enhance E-commerce Review System. -- Screening of Enhanced Oil Recovery Methods Using Supervised Machine Learning Predicated on Range Data. -- A Survey on Nature-Inspired Optimization Methods for Effective Task Scheduling in Cloud Computing Environment. -- Enhancing Internet of Things Security with Random Forest-Based Anomaly Detection. -- A Survey of Challenges Associated with Cloud Computing Security. |
| Record Nr. | UNINA-9910881090103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied intelligence and informatics : second international conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, revised selected papers / / Mufti Mahmud [and four others], editors
| Applied intelligence and informatics : second international conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, revised selected papers / / Mufti Mahmud [and four others], editors |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (535 pages) |
| Disciplina | 006.3 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Computational intelligence
Computer science Information technology |
| ISBN | 3-031-24801-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Track 1: Emerging Applications of AI and Informatics -- A hybrid speed and radial distance feature descriptor using optical flow approach in HAR -- Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates -- An Indirect Approach to Forecast Produced Power on Photovoltaic Plants under Uneven Shading Conditions -- An FPGA-based Hardware Accelerator for the k-Nearest Neighbor Algorithm Implementation in Wearable Embedded Systems -- Designing Low-Power and High-Speed FPGA-based Binary Decision Tree Hardware Accelerators -- MEMS and AI for the Recognition of Human Activities on IoT Platforms -- Tackling the Linear Sum Assignment Problem with Graph Neural Networks -- A Non-Parametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process -- Optimized Layout: A Genetic Algorithm for Industrial and Business Application -- Track 2: Application of AI and Informatics in Healthcare -- Explainable Deep Learning for Alzheimer Disease Classification and Localisation -- ML-based Radiomics analysis for Breast Cancer classification in DCE-MRI -- Decoding motor preparation through a deep learning approach based on EEG time-frequency maps -- A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC) -- The Effect of Drug on Neonatal-ICU Length of Stay: A Machine Learning Approach to Analyze -- iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence -- Ensemble Classifiers for a 4-way Classification of Alzheimer’s Disease -- Identification of Crown and Rump in First-Trimester Ultrasound Images using Deep Convolutional Neural Network -- A Pyramidal Approach for Emotion Recognition from EEG Signals -- Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition -- Track 3: Application of AI and Informatics in Pattern Recognition -- A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images -- Television programs classification via Deep Learning using SSMI-CCN -- A Hybrid Deep Learning System to detect face-mask and monitor social distance -- Handwriting and Drawing for Depression Detection: A Preliminary Study -- Identifying synthetic voices qualities for conversational agents -- Identifying Colluding Actors in Social Communities by Reputation Measures -- Weakly Supervised Transfer Learning for Multi-label Appliance Classification -- Toward an Interoperable Catalogue of Multimodal Depression-related Data -- Explainable deep learning classification of respiratory sound for telemedicine applications -- Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks -- Applied Enhanced Q-NAS for COVID-19 Detection in CT Images -- Track 4: Application of AI and Informatics in Network, Security, and Analytics -- Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars -- Indoor Positioning and Navigation using Bluetooth Low Energy and Cloud Service in Healthcare Perspective -- Science Parks externalities on financial performance of small firms through business intelligence tools -- A novel approach to identifying DDoS traffic in the Smart Home network via Exploratory Data Analysis -- A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks -- A graph-based approach to detect anomalies based on shared attribute values. |
| Record Nr. | UNINA-9910647781403321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied intelligence and informatics : second international conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, revised selected papers / / Mufti Mahmud [and four others], editors
| Applied intelligence and informatics : second international conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, revised selected papers / / Mufti Mahmud [and four others], editors |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (535 pages) |
| Disciplina | 006.3 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Computational intelligence
Computer science Information technology |
| ISBN | 3-031-24801-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Track 1: Emerging Applications of AI and Informatics -- A hybrid speed and radial distance feature descriptor using optical flow approach in HAR -- Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates -- An Indirect Approach to Forecast Produced Power on Photovoltaic Plants under Uneven Shading Conditions -- An FPGA-based Hardware Accelerator for the k-Nearest Neighbor Algorithm Implementation in Wearable Embedded Systems -- Designing Low-Power and High-Speed FPGA-based Binary Decision Tree Hardware Accelerators -- MEMS and AI for the Recognition of Human Activities on IoT Platforms -- Tackling the Linear Sum Assignment Problem with Graph Neural Networks -- A Non-Parametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process -- Optimized Layout: A Genetic Algorithm for Industrial and Business Application -- Track 2: Application of AI and Informatics in Healthcare -- Explainable Deep Learning for Alzheimer Disease Classification and Localisation -- ML-based Radiomics analysis for Breast Cancer classification in DCE-MRI -- Decoding motor preparation through a deep learning approach based on EEG time-frequency maps -- A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC) -- The Effect of Drug on Neonatal-ICU Length of Stay: A Machine Learning Approach to Analyze -- iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence -- Ensemble Classifiers for a 4-way Classification of Alzheimer’s Disease -- Identification of Crown and Rump in First-Trimester Ultrasound Images using Deep Convolutional Neural Network -- A Pyramidal Approach for Emotion Recognition from EEG Signals -- Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition -- Track 3: Application of AI and Informatics in Pattern Recognition -- A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images -- Television programs classification via Deep Learning using SSMI-CCN -- A Hybrid Deep Learning System to detect face-mask and monitor social distance -- Handwriting and Drawing for Depression Detection: A Preliminary Study -- Identifying synthetic voices qualities for conversational agents -- Identifying Colluding Actors in Social Communities by Reputation Measures -- Weakly Supervised Transfer Learning for Multi-label Appliance Classification -- Toward an Interoperable Catalogue of Multimodal Depression-related Data -- Explainable deep learning classification of respiratory sound for telemedicine applications -- Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks -- Applied Enhanced Q-NAS for COVID-19 Detection in CT Images -- Track 4: Application of AI and Informatics in Network, Security, and Analytics -- Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars -- Indoor Positioning and Navigation using Bluetooth Low Energy and Cloud Service in Healthcare Perspective -- Science Parks externalities on financial performance of small firms through business intelligence tools -- A novel approach to identifying DDoS traffic in the Smart Home network via Exploratory Data Analysis -- A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks -- A graph-based approach to detect anomalies based on shared attribute values. |
| Record Nr. | UNISA-996511861603316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applied intelligence and informatics : first International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, proceedings / / edited by Mufti Mahmud [and four others]
| Applied intelligence and informatics : first International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, proceedings / / edited by Mufti Mahmud [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (411 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-82269-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464503803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applied intelligence and informatics : first International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, proceedings / / edited by Mufti Mahmud [and four others]
| Applied intelligence and informatics : first International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, proceedings / / edited by Mufti Mahmud [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (411 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-82269-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910495186803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Brain informatics : 15th international conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings / / Mufti Mahmud [and four others], editors
| Brain informatics : 15th international conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings / / Mufti Mahmud [and four others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (390 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence - Medical applications
Human information processing Neural networks (Computer science) |
| ISBN | 3-031-15037-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910588599703321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Brain informatics : 15th international conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings / / Mufti Mahmud [and four others], editors
| Brain informatics : 15th international conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings / / Mufti Mahmud [and four others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (390 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence - Medical applications
Human information processing Neural networks (Computer science) |
| ISBN | 3-031-15037-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996485667603316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Brain informatics : 14th international conference, BI 2021, virtual event, September 17-19, 2021 : proceedings / / Mufti Mahmud [and four others] editors
| Brain informatics : 14th international conference, BI 2021, virtual event, September 17-19, 2021 : proceedings / / Mufti Mahmud [and four others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (606 pages) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Neural networks (Computer science)
Human information processing Artificial intelligence - Medical applications |
| ISBN | 3-030-86993-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464425203316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Brain informatics : 14th international conference, BI 2021, virtual event, September 17-19, 2021 : proceedings / / Mufti Mahmud [and four others] editors
| Brain informatics : 14th international conference, BI 2021, virtual event, September 17-19, 2021 : proceedings / / Mufti Mahmud [and four others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (606 pages) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Neural networks (Computer science)
Human information processing Artificial intelligence - Medical applications |
| ISBN | 3-030-86993-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502647403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
