000 | 05977nam a22006735i 4500 | ||
---|---|---|---|
001 | 978-3-031-62217-5 | ||
003 | DE-He213 | ||
005 | 20240730172409.0 | ||
007 | cr nn 008mamaa | ||
008 | 240610s2024 sz | s |||| 0|eng d | ||
020 |
_a9783031622175 _9978-3-031-62217-5 |
||
024 | 7 |
_a10.1007/978-3-031-62217-5 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aMachine Learning, Image Processing, Network Security and Data Sciences _h[electronic resource] : _b5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023, Revised Selected Papers / _cedited by Naveen Chauhan, Divakar Yadav, Gyanendra K. Verma, Badal Soni, Jorge Morato Lara. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
300 |
_aXV, 364 p. 165 illus., 128 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v2128 |
|
505 | 0 | _a -- Machine Learning. -- SynText - Data Augmentation Algorithm in NLP to improve performance of Emotion Classifiers. -- Internet of Medical Things: Empowering Mobility and Health Monitoring with a Smart Walking Stick. -- MRI Based Spatio-Temporal Model for Alzheimer's Disease Prediction. -- Comparative Analysis of Economy-based Multivariate Oil Price Prediction using LSTM. -- Deep Learning based EV's Charging Network Management. -- A Machine Learning Model for Crop Yield Prediction Using Fertilizers Consumption and Land Area. -- Detection and Classification of Waste Materials using Deep Learning Techniques. -- A Comparative Analysis of ML Based Approaches for Identifying AQI Level. -- Marker based Augmented Reality Application in Education domain. -- Hate Speech Detection Using Machine Learning and Deep Learning Techniques. -- Phishing Detection Using 1D-CNN and FF-CNN Models Based on URL of the Website. -- Diabetes Prediction using machine learning classifiers. -- A Deep Learning Method for Obfuscated Android Malware Detection. -- Code-mixed language understanding using BiLSTM-BERT multi-attention fusion mechanism. -- The Potential of 1D-CNN for EEG Mental Attention State Detection. -- Potato Leaf Disease Classification Using Deep Learning Model. -- Breast Cancer Detection: An Evaluation of Machine Learning, Ensemble Learning, and Deep Learning Algorithms. -- Advancements in Facial Expression Recognition: A Comprehensive Analysis of Techniques. -- Image Processing. -- Sparse Representation with Residual Learning Model for Medical Image Classification. -- COVID-19 Detection from Chest X-ray Images using GBM with Comparative Analysis. -- Violence Detection in Indoor Domestic Environment using Multimodal Information. -- Real-time Hand Gesture Recognition for American Sign Language using CNN, Mediapipe and Convexity approach. -- Compressors using modified sorting and parallel counting. -- Speed-invariant Gait Recognition using Correlation Factor Lists for Classroom Attendance Systems. -- Network Security. -- A Novel Unsupervised Learning Approach for False Data Injection Attack Detection in Smart Grid. -- A Review of Authentication Schemes in Internet of Things. -- A Multi-Stage Encryption Technique Using Asymmetric and Various Symmetric Ciphers. -- Data Sciences. -- Bridging the Gap: Condensing Knowledge Graphs for Metaphor Processing by Visualizing Relationships in Figurative and Literal Expressions. -- Effectiveness of Influencer Marketing on Gen Z Consumer. | |
520 | _aThis book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during December 21-22, 2023. The 29 full papers included in this book were carefully reviewed and selected from 173 submissions. They were organized in topical sections as follows: Machine Learning; Image Processing; Network Security; and Data Sciences. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
|
650 | 0 |
_aComputer vision. _9103511 |
|
650 | 0 |
_aComputer engineering. _910164 |
|
650 | 0 |
_aComputer networks . _931572 |
|
650 | 0 |
_aData structures (Computer science). _98188 |
|
650 | 0 |
_aInformation theory. _914256 |
|
650 | 0 |
_aDatabase management. _93157 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aComputer Engineering and Networks. _9103514 |
650 | 2 | 4 |
_aData Structures and Information Theory. _931923 |
650 | 2 | 4 |
_aDatabase Management System. _932540 |
700 | 1 |
_aChauhan, Naveen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9103515 |
|
700 | 1 |
_aYadav, Divakar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9103516 |
|
700 | 1 |
_aVerma, Gyanendra K. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9103517 |
|
700 | 1 |
_aSoni, Badal. _eeditor. _0(orcid) _10000-0002-9617-9468 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9103519 |
|
700 | 1 |
_aLara, Jorge Morato. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9103520 |
|
710 | 2 |
_aSpringerLink (Online service) _9103525 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031622168 |
776 | 0 | 8 |
_iPrinted edition: _z9783031622182 |
830 | 0 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v2128 _9103526 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-62217-5 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cEBK | ||
999 |
_c88277 _d88277 |