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Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises : Theoretical Insights with Practical Applications / / edited by Abhishek Kumar, Fernando Ortiz-Rodriguez, Jose Braga De Vasconcelos, Pushan Kumar Dutta, Hemant Kumar Saini, Pramod Singh Rathore
| Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises : Theoretical Insights with Practical Applications / / edited by Abhishek Kumar, Fernando Ortiz-Rodriguez, Jose Braga De Vasconcelos, Pushan Kumar Dutta, Hemant Kumar Saini, Pramod Singh Rathore |
| Autore | Kumar Abhishek |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (474 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
Ortiz-RodriguezFernando
De VasconcelosJose Braga Kumar DuttaPushan SainiHemant Kumar RathorePramod Singh |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Engineering - Data processing
Biomedical engineering Computational intelligence Neurosciences Data Engineering Biomedical Engineering and Bioengineering Computational Intelligence Neuroscience |
| ISBN | 3-031-91147-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Virtual Ai Assistant Ai In Mental Healthcare -- Leveraging Deep Generative Models For Early Diagnosis And Personalized Care In Neurological And Mental Health Disorders -- A Comprehensive Review Of Deep Generative Techniques In The Study And Management Of Neurological Disorders -- Advancements In Neuroimaging And Deep Learning A Review Of Core Principles, Methodologies, And Emerging Applications -- Ethical Considerations And Regulatory Compliance In Ai Driven Diagnostics -- Neuro Imaging Based Alzheimerdisease Detection By Segmentation With Classification Using Machine Learning Algorithms -- Neuro Imaging Based Alzheimer Disease Detection Using Generative Adversarial Model With Deep Learning Algorithm -- Early Diagnosis Of Alzheimer’s Disease Using Adversarial Techniques -- Classification Of Mental Disorder With Deep Generative Models -- Practical Implementation And Integration Of Ai In Mental Healthcare. |
| Record Nr. | UNINA-9911015628503321 |
Kumar Abhishek
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence: Towards Sustainable Intelligence : Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3–4, 2024, Proceedings / / edited by Sanju Tiwari, Fernando Ortiz-Rodriguez, Miguel-Angel Sicilia, Tek Raj Chhetri
| Artificial Intelligence: Towards Sustainable Intelligence : Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3–4, 2024, Proceedings / / edited by Sanju Tiwari, Fernando Ortiz-Rodriguez, Miguel-Angel Sicilia, Tek Raj Chhetri |
| Autore | Tiwari Sanju |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (326 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Ortiz-RodriguezFernando
SiciliaMiguel-Angel ChhetriTek Raj |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Machine learning Database management Image processing - Digital techniques Computer vision Application software Artificial Intelligence Machine Learning Database Management System Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications Computer Vision |
| ISBN |
9783031813696
3031813693 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Sustainability Performance through a Business Process Mining based Conceptual Framework Integrating GRI Metrics. -- KnowWhereGraph for Land Use Optimization: Achieving Sustainability and Efficiency. -- A Multiple Criteria - based customer Segmentation and Recommendation System for Rural Farmers. -- Enhancing Turkish Music Emotion Prediction: A Comparative Analysis of Ten Machine Learning Techniques. -- Integrating Deep Learning and Imaging Techniques for High-Precision Brain Tumor Analysis. -- Static Video Summarization using Transfer Learning and Clustering. -- Stress-Wed: Stress recognition autoencoder using Wearables Data. -- Optimizing Agricultural Practices through Integrated IoT and ML Solutions. -- AI in Building Systems for Perpetual Monitoring and Control of ESG Practices. -- Attention-based Deep Learning for Hand Gesture Recognition using Multi-sensor Data. -- Climate risk management for aquaculture industry: Robust programming approach vs Random forest algorithm. -- ATF-rPPG: Enhancing Robust Heart Rate Estimation from Face Videos with Attention. -- Enhancing User Control: A Reinforcement Learning Framework for Breaking Filter Bubbles in Recommender Systems. -- Pre-Examination and Classification of Brain Tumor Dataset Using Machine Learning. -- Supplier selection for agriculture industry under uncertainty: Machine learning based sample average approximation method. -- Enhancing Cyclone Preparedness: Deep Learning Methods with INSAT-3D Satellite Imagery. -- Machine Learning Detection of Depression Indicators in Online Communication. -- Cognitive Computing in Cyber Physical Systems - A Paradigm Shift in Anomaly Detection Strategies. |
| Record Nr. | UNINA-9910983049603321 |
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Tiwari Sanju
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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