Advances in Computing and Data Sciences [[electronic resource] ] : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören |
Autore | Singh Mayank |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (611 pages) |
Disciplina | 004 |
Altri autori (Persone) |
TyagiVipin
GuptaP. K FlusserJan ÖrenTuncer |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data structures (Computer science)
Information theory Application software Machine learning Computers Data Structures and Information Theory Computer and Information Systems Applications Machine Learning Computing Milieux |
ISBN | 3-031-37940-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Text based Traffic Signboard Detection using YOLO v7 Architecture -- Energy Preserving ABE-based Data Security Scheme for Fog Computing -- An Approach for Effective Object Detection -- An Algorithm for solving two variable linear diophantine equations -- Deep Watcher: A Surveillance System using Deep Learning for the COVID-19 Pandemic -- Multiple linear regression based analysis of weather data for precipitation and visibility prediction -- Optimal and Event Driven Adaptive Fault Diagnosis for Arbitrary Network -- Analysis of Routing in IoT -- Autism children Behavioural Identification from Facial Regions through Thermal Image interpretations -- Synthesis of Elementary Cellular Automata for Targeted Cache Applications -- Optimal Perfect Phylogeny using ILP and Continuous Approximations -- A Novel Method for Near-Duplicate Image Detection Using Global Features -- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme for Smart Healthcare Network -- Optimal KAZE and AKAZE Features for Facial Similarity Matching -- Modified InceptionV3 using Soft Attention for the Grading of Diabetic Retinopathy -- Comprehensive Study of Cyber Security in AI Based Smart Grid -- Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach -- Assessment and prediction of a cyclonic event: A Deep learning model -- Technology enabled Self-directed learning: A review and framework -- Detecting Toxic comments using FastText, CNN, and LSTM models -- UEye: Insights on User Interface Design using Eye Movement Visualizations -- Code Mixed Information Retrieval for Gujarati Script News Articles -- Plant Disease classification using VGG-19 based Faster-RCNN -- Classification of Real and Deepfakes visual samples with pre-trained deep learning models -- Deep Learning based Speech Synthesis with Emotion Overlay -- An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru's Atmosphere -- Deep learning model based on a Transformers network for sentiment analysis using NLP in sports worldwide -- An Effective Framework for Sentiment Analysis using RNN and LSTM-based Deep Learning Approaches -- Spatial Domain Method for Image Analysis: A Grey-Level Computation Approach -- Crop yield prediction for smart agriculture with climatic parameters using Random Forest -- Implementation of XGBoost Regression for Calories Burnt Prediction using R -- Text Data Augmentation Using Generative Adversarial Networks, Back Translation and EDA -- Machine Learning-Based Temperature Monitoring and Prediction -- Pathrank Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI Weighted Bipartite Graph Network -- Circ RNA based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning -- Ensemble Approach to Classify Spam SMS from -- A Scientific Study for Breast Cancer Detection Using Various Machine Learning Algorithms -- YOLO based segmentation and CNN based classification Framework for epithelial and pus cell detection -- Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction -- Driver Dozy Discernment using Neural Networks with SVM Variants -- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining with Adjacency matrix and Type-2 Member function -- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-based Approach -- Spear Phishing Using Machine Learning -- An Interpretable Deep Learning model for Skin Lesion Classification -- Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection -- A New Grey Correlational Compromise Ranking Approach for Portfolio Selection for Investment in ESG Stocks -- Decision Tree based Test Case Generation using Story Board and Natural Language Processing. |
Record Nr. | UNISA-996546838903316 |
Singh Mayank | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Computing and Data Sciences : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören |
Autore | Singh Mayank |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (611 pages) |
Disciplina | 004 |
Altri autori (Persone) |
TyagiVipin
GuptaP. K FlusserJan ÖrenTuncer |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data structures (Computer science)
Information theory Application software Machine learning Computers Data Structures and Information Theory Computer and Information Systems Applications Machine Learning Computing Milieux |
ISBN | 3-031-37940-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Text based Traffic Signboard Detection using YOLO v7 Architecture -- Energy Preserving ABE-based Data Security Scheme for Fog Computing -- An Approach for Effective Object Detection -- An Algorithm for solving two variable linear diophantine equations -- Deep Watcher: A Surveillance System using Deep Learning for the COVID-19 Pandemic -- Multiple linear regression based analysis of weather data for precipitation and visibility prediction -- Optimal and Event Driven Adaptive Fault Diagnosis for Arbitrary Network -- Analysis of Routing in IoT -- Autism children Behavioural Identification from Facial Regions through Thermal Image interpretations -- Synthesis of Elementary Cellular Automata for Targeted Cache Applications -- Optimal Perfect Phylogeny using ILP and Continuous Approximations -- A Novel Method for Near-Duplicate Image Detection Using Global Features -- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme for Smart Healthcare Network -- Optimal KAZE and AKAZE Features for Facial Similarity Matching -- Modified InceptionV3 using Soft Attention for the Grading of Diabetic Retinopathy -- Comprehensive Study of Cyber Security in AI Based Smart Grid -- Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach -- Assessment and prediction of a cyclonic event: A Deep learning model -- Technology enabled Self-directed learning: A review and framework -- Detecting Toxic comments using FastText, CNN, and LSTM models -- UEye: Insights on User Interface Design using Eye Movement Visualizations -- Code Mixed Information Retrieval for Gujarati Script News Articles -- Plant Disease classification using VGG-19 based Faster-RCNN -- Classification of Real and Deepfakes visual samples with pre-trained deep learning models -- Deep Learning based Speech Synthesis with Emotion Overlay -- An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru's Atmosphere -- Deep learning model based on a Transformers network for sentiment analysis using NLP in sports worldwide -- An Effective Framework for Sentiment Analysis using RNN and LSTM-based Deep Learning Approaches -- Spatial Domain Method for Image Analysis: A Grey-Level Computation Approach -- Crop yield prediction for smart agriculture with climatic parameters using Random Forest -- Implementation of XGBoost Regression for Calories Burnt Prediction using R -- Text Data Augmentation Using Generative Adversarial Networks, Back Translation and EDA -- Machine Learning-Based Temperature Monitoring and Prediction -- Pathrank Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI Weighted Bipartite Graph Network -- Circ RNA based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning -- Ensemble Approach to Classify Spam SMS from -- A Scientific Study for Breast Cancer Detection Using Various Machine Learning Algorithms -- YOLO based segmentation and CNN based classification Framework for epithelial and pus cell detection -- Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction -- Driver Dozy Discernment using Neural Networks with SVM Variants -- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining with Adjacency matrix and Type-2 Member function -- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-based Approach -- Spear Phishing Using Machine Learning -- An Interpretable Deep Learning model for Skin Lesion Classification -- Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection -- A New Grey Correlational Compromise Ranking Approach for Portfolio Selection for Investment in ESG Stocks -- Decision Tree based Test Case Generation using Story Board and Natural Language Processing. |
Record Nr. | UNINA-9910735785503321 |
Singh Mayank | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Computing and Data Sciences [[electronic resource] ] : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XIV, 520 p. 249 illus., 172 illus. in color.) |
Disciplina | 004.678 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data structures (Computer science)
Computers Machine learning Application software Computer organization Education—Data processing Data Structures and Information Theory Information Systems and Communication Service Machine Learning Computer Appl. in Social and Behavioral Sciences Computer Systems Organization and Communication Networks Computers and Education |
ISBN | 981-15-6634-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465342903316 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Computing and Data Sciences : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XIV, 520 p. 249 illus., 172 illus. in color.) |
Disciplina | 004.678 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data structures (Computer science)
Computers Machine learning Application software Computer organization Education—Data processing Data Structures and Information Theory Information Systems and Communication Service Machine Learning Computer Appl. in Social and Behavioral Sciences Computer Systems Organization and Communication Networks Computers and Education |
ISBN | 981-15-6634-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910413447903321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Computing and Data Sciences : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part I / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XXI, 556 p.) |
Disciplina | 004 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data structures (Computer science)
Computers Data Structures and Information Theory Information Systems and Communication Service |
ISBN | 981-13-1810-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910299289803321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Computing and Data Sciences : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part II / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XXI, 578 p. 323 illus.) |
Disciplina | 004 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data structures (Computer science)
Computers Data Structures and Information Theory Information Systems and Communication Service |
ISBN | 981-13-1813-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910299290003321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cereal genomics . II / / Pushpendra K. Gupta, Rajeev K. Varshney, editors |
Edizione | [2nd ed. 2013.] |
Pubbl/distr/stampa | Dordrecht, : Springer Science, c2013 |
Descrizione fisica | 1 online resource (viii, 438 pages) : illustrations (some color) |
Disciplina | 633.1/04233 |
Altri autori (Persone) |
GuptaP. K
VarshneyR. K <1973-> (Rajeev K.) |
Collana | Gale eBooks |
Soggetto topico |
Grain - Genetics
Plant genetics |
ISBN | 94-007-6401-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- 1. Cereal Genomics: Excitements, Challenges and Opportunities: Pushpendra K. Gupta, and Rajeev K. Varshney -- 2. Array-Based High-Throughput Dna Markers And Genotyping Platforms For Cereal Genetics And Genomics: Pushpendra K. Gupta, Sachin Rustgi, Reyazul R. Mir -- 3. Sequence based DNA markers and genotyping for cereal genomics and breeding: David Edwards, Pushpendra K. Gupta -- 4. Application of next-generation sequencing technologies for genetic diversity analysis in cereals: Seifollah Kiani, Alina Akhunova, Eduard Akhunov -- 5. Genome sequencing and comparative genomics in cereals: Xi-Yin Wang, Andrew H. Paterson -- 6. Transposons in cereals: shaping genomes and driving their evolution: Jan P. Buchmann, Beat Keller, Thomas Wicker -- 7. Functional Annotation of Plant Genomes: Vindhya Amarasinghe et al -- 8. Different Omics Approaches In Cereals And Their Possible Implications For Developing A System Biology Approach To Study The Mechanism Of Abiotic Stress Tolerance: Palakolanu Sudhakar Reddy, Nese Sreenivasulu -- 9. Functional Genomics of Seed Development in Cereals: Ming Li et al -- 10. Genomics of cereal-based functional foods: Nidhi Rawat, Barbara Laddomada, Bikram S. Gill -- 11. QTL Mapping: Methodology and Applications in Cereal Breeding: Pushpendra K. Gupta, Pawan L. Kulwal, Reyazul R. Mir -- 12. Molecular Genetic Basis of THE Domestication Syndrome in Cereals: Tao Sang, Jiayang Li -- 13. High-throughput and precision phenotyping for cereal breeding programs: Boddupalli M. Prasanna -- 14. Marker-Assisted Selection in Cereals: Platforms, Strategies and Examples: Yunbi Xu et al -- Index. . |
Record Nr. | UNINA-9910739421503321 |
Dordrecht, : Springer Science, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|