國立虎尾科技大學 |

Artificial intelligence and speech technology = 5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.. Part II /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial intelligence and speech technology/ edited by Amita Dev ... [et al.].
Reminder of title:	5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.
other author:	Dev, Amita.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xx, 473 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-75167-7
ISBN:	9783031751677

Artificial intelligence and speech technology = 5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.. Part II /
Artificial intelligence and speech technology5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.Part II /[electronic resource] :edited by Amita Dev ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xx, 473 p. :ill., digital ;24 cm. - Communications in computer and information science,22681865-0937 ;. - Communications in computer and information science ;311..

-- Machine Learning Usage for Knee Condition: Osteoarthritis and TKA, using Image Processing Among Medical Patients. -- Machine Learning Techniques to Study: Medical and Biomedical Signal Analysis. -- N-BEATS & Temporal Fusion Transformer based Surface Temperature Prediction and Forecasting for Realizing Global Warming Trends. -- Tuberculosis Detection and Classification in Chest X-ray Images Using Optimized CNN Architecture. -- Performance Evaluation of Machine Learning Algorithms for Predicting Solar radiation in Chennai Province. -- Fault Predictions based on base learnings and mean weighted score using Machine Learning Techniques. -- A Journey through Multifaceted Data in Machine Learning Predictions on Financial Viability. -- Enhancing Mint Plant Disease Detection Accuracy through Deep Reinforcement Learning with YOLO Algorithm. -- Neural Network Based Employability Index for IT Graduates. -- Ensuring Trustworthy Elections using IoT-Enabled Blockchain EVM Voting Mechanism with Aadhaar Card-Based Face Verification. -- Data Mining Based Heart Disease Prediction using Hybrid Optimization Technique of Derived Features. -- Efficient Detection and Multi-level Classification of Tomato Plant Leaves using fused deep and hand-crafted features and LSTM-ANFIS. -- Unveiling the Enigma: Sudden Cardiac Arrest among Youth and Uncovering Underlying Causes: A Data Analysis Study. -- Using Encoder Models to Predict Ratings Using Flipkart Reviews. -- Diagnosis of Alzheimer Disease using Machine Learning Algorithms. -- Detecting Image-based Fake News with Neural Sleuths. -- Background Subtraction Model with Advance GMM in Dynamic Background. -- Video Summarization using Firefly Algorithm. -- An Image Processing-Based Tomato Leaf Disease Prediction Using Deep CNN. -- Investigation on Existing Blockchain based Architecture, AI/ML driven for Boosting IoT Security & Privacy. -- Machine Learning- Based Estimation of Caloric Expenditure. -- FarmScan: Smart Rotten Fruit and Vegetable Detector. -- Closing the Data Divide in COVID-19 X-ray Datasets: Advancing Diagnosis through Stable Diffusion-based Synthetic Image Generation. -- Machine-Learning Algorithms for Predicting Cardiac Arrhythmias. -- Natural Language Generation (NLG) with Reinforcement Learning (RL). -- i-BMD: AI-based Opportunistic Screening for Osteoporosis on Abdominal CT using Deep Learning. -- Machine Learning in IoT: An In-depth Dataset Analysis based on Attack Detection. -- Investigation of satellite data for monitoring air quality over remote sensing technology. -- Analysing Social Media Data for emotion detection and sentiment analysis. -- A Comprehensive Approach to AI-Enabled Diagnosis of Lung Diseases: Utilizing Pretrained Models for Fibrosis, Tuberculosis, and Covid-19 Detection. -- Campus Exploration: Figma-Driven UI Design for a Campus Tour App. -- Predicting Startup Exit Strategies with Ensemble Machine Learning. -- An Inclusive Analysis on Deep Learning hinged Malware Detection Techniques. -- Advances in Text Summarization Techniques: A Comprehensive Review and Future Prospects. -- Multiple Object Detection and Tracking Using DeepSORT. -- An Ensembled Travel Recommender Model Using Autoencoder and Machine Learning Algorithms. -- Future-Proofing Careers: The AI Era and the Imperative of Reskilling.

This two-volume set, CCIS 2267 and 2268, constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence and Speech Technology, AIST 2023, held in Delhi, India, during December 26-27, 2023. The 71 papers presented in two volumes were carefully reviewed and selected from 235 submissions. Part I focuses on Speech Technology using AI and Part II focuses on AI innovations for CV and NLP. These volumes are organized in the following topical sections: Part I: Trends and Applications in Speech Processing; Recent Trends in Speech and NLP; Emerging trends in Speech Processing; Advances in Computational Linguistics and NLP. Part II: Recent Trends in Machine Learning and Deep Learning; Analysis using Hybrid technologies with Artificial Intelligence; Exploring New Horizons in Computer Vision Research; Applications of Machine Learning and Deep Learning.

ISBN: 9783031751677

Standard No.: 10.1007/978-3-031-75167-7doiSubjects--Topical Terms:

528575
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Artificial intelligence and speech technology = 5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.. Part II /
LDR:05408nam a22003375a 4500 001 1172117
003 DE-He213
005 20251229071837.0
006 m d
007 cr nn 008maaau
008 260625s2025 sz s 0 eng d
020 $a 9783031751677 $q (electronic bk.)
020 $a 9783031751660 $q (paper)
024 7 $a 10.1007/978-3-031-75167-7 $2 doi
035 $a 978-3-031-75167-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b A299 2023
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Artificial intelligence and speech technology $h [electronic resource] : $b 5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings. $n Part II / $c edited by Amita Dev ... [et al.].
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xx, 473 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2268
505 0 $a -- Machine Learning Usage for Knee Condition: Osteoarthritis and TKA, using Image Processing Among Medical Patients. -- Machine Learning Techniques to Study: Medical and Biomedical Signal Analysis. -- N-BEATS & Temporal Fusion Transformer based Surface Temperature Prediction and Forecasting for Realizing Global Warming Trends. -- Tuberculosis Detection and Classification in Chest X-ray Images Using Optimized CNN Architecture. -- Performance Evaluation of Machine Learning Algorithms for Predicting Solar radiation in Chennai Province. -- Fault Predictions based on base learnings and mean weighted score using Machine Learning Techniques. -- A Journey through Multifaceted Data in Machine Learning Predictions on Financial Viability. -- Enhancing Mint Plant Disease Detection Accuracy through Deep Reinforcement Learning with YOLO Algorithm. -- Neural Network Based Employability Index for IT Graduates. -- Ensuring Trustworthy Elections using IoT-Enabled Blockchain EVM Voting Mechanism with Aadhaar Card-Based Face Verification. -- Data Mining Based Heart Disease Prediction using Hybrid Optimization Technique of Derived Features. -- Efficient Detection and Multi-level Classification of Tomato Plant Leaves using fused deep and hand-crafted features and LSTM-ANFIS. -- Unveiling the Enigma: Sudden Cardiac Arrest among Youth and Uncovering Underlying Causes: A Data Analysis Study. -- Using Encoder Models to Predict Ratings Using Flipkart Reviews. -- Diagnosis of Alzheimer Disease using Machine Learning Algorithms. -- Detecting Image-based Fake News with Neural Sleuths. -- Background Subtraction Model with Advance GMM in Dynamic Background. -- Video Summarization using Firefly Algorithm. -- An Image Processing-Based Tomato Leaf Disease Prediction Using Deep CNN. -- Investigation on Existing Blockchain based Architecture, AI/ML driven for Boosting IoT Security & Privacy. -- Machine Learning- Based Estimation of Caloric Expenditure. -- FarmScan: Smart Rotten Fruit and Vegetable Detector. -- Closing the Data Divide in COVID-19 X-ray Datasets: Advancing Diagnosis through Stable Diffusion-based Synthetic Image Generation. -- Machine-Learning Algorithms for Predicting Cardiac Arrhythmias. -- Natural Language Generation (NLG) with Reinforcement Learning (RL). -- i-BMD: AI-based Opportunistic Screening for Osteoporosis on Abdominal CT using Deep Learning. -- Machine Learning in IoT: An In-depth Dataset Analysis based on Attack Detection. -- Investigation of satellite data for monitoring air quality over remote sensing technology. -- Analysing Social Media Data for emotion detection and sentiment analysis. -- A Comprehensive Approach to AI-Enabled Diagnosis of Lung Diseases: Utilizing Pretrained Models for Fibrosis, Tuberculosis, and Covid-19 Detection. -- Campus Exploration: Figma-Driven UI Design for a Campus Tour App. -- Predicting Startup Exit Strategies with Ensemble Machine Learning. -- An Inclusive Analysis on Deep Learning hinged Malware Detection Techniques. -- Advances in Text Summarization Techniques: A Comprehensive Review and Future Prospects. -- Multiple Object Detection and Tracking Using DeepSORT. -- An Ensembled Travel Recommender Model Using Autoencoder and Machine Learning Algorithms. -- Future-Proofing Careers: The AI Era and the Imperative of Reskilling.
520 $a This two-volume set, CCIS 2267 and 2268, constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence and Speech Technology, AIST 2023, held in Delhi, India, during December 26-27, 2023. The 71 papers presented in two volumes were carefully reviewed and selected from 235 submissions. Part I focuses on Speech Technology using AI and Part II focuses on AI innovations for CV and NLP. These volumes are organized in the following topical sections: Part I: Trends and Applications in Speech Processing; Recent Trends in Speech and NLP; Emerging trends in Speech Processing; Advances in Computational Linguistics and NLP. Part II: Recent Trends in Machine Learning and Deep Learning; Analysis using Hybrid technologies with Artificial Intelligence; Exploring New Horizons in Computer Vision Research; Applications of Machine Learning and Deep Learning.
650 0 $a Data mining $v Congresses. $3 528575
650 0 $a Image processing $x Digital techniques $v Handbooks, manuals, etc. $3 556884 $3 727753
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 1365738
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
700 1 $a Dev, Amita. $e editor. $3 1401542
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 311. $3 881211
856 4 0 $u https://doi.org/10.1007/978-3-031-75167-7
950 $a Artificial Intelligence (R0) (SpringerNature-85269)