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Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 1 / / edited by Rajesh Kumar, Ajit Kumar Verma, Om Prakash Verma, Tanu Wadehra
| Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 1 / / edited by Rajesh Kumar, Ajit Kumar Verma, Om Prakash Verma, Tanu Wadehra |
| Autore | Kumar Rajesh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
VermaAjit Kumar
VermaOm Prakash WadehraTanu |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Control engineering Robotics Automation Signal processing Computational Intelligence Artificial Intelligence Control, Robotics, Automation Signal, Speech and Image Processing |
| ISBN | 9789819720316 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Mathematical Approach to Prevent and Control COVID-19 Outbreaks: The Improved M-E Model -- Implementation of Agricultural produce segregation using image processing Algorithm -- Detection of Duplicate Question Pairs by Applying Proposed BoW, TF-IDF & USE Approach -- The Hand Glove Enabling Voice and Text Communication -- Advancing Rheumatoid Arthritis Care: Exploring Technological -- Breakthroughs and Future Directions -- Twitter Trolling Detection Using Machine Learning -- HMHDTML: Human Mental Health Detection using Text and Machine Learning Model -- Analysing the growth profile of Brain tumor with Caputo fractional operator via Sumudu transform -- Multi Labelled Topic Classification of Research Articles Using Machine Learning -- Security in Mobile Ad hoc Networks: Impact of Attacks and Counter-Measure Approaches -- Optimization of vibrational frequencies for orthotropic parallelogram plates with circular variations in tapering at simply supported boundary -- Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers -- Early detection of colorectal cancer from polyps images using deep learning -- Motion control of underactuated cart-double-pendulum system via fractional order sliding mode controller -- A Comparative Study of Pedestrian Detection Techniques over the Last Decade -- Approximation properties of Modified-Bernstein operators having Sz´asz weight functions -- Fourier-Laguerre expansion of signals by composite summable technique -- A Multiple Linear Regression Model to Estimate Global, Direct and Diffuse Irradiance in Gurugram, India using Python -- Supervised Machine Learning Approaches for Customer Reviews Sentiment Analysis -- Stock Price Prediction on Indian Share Market Using Machine Learning -- Transparent Price Forecasting For Basic Food commodities in a Developing Economy -- Parallel Deep Convolution Neural Network (P-DCNN) Prediction of Paddy Crop Disease -- Convolutional-LSTM Network for Emotion Recognition using EEG data in Valence-Arousal dimension -- Analysis of Multiply Accumulate (MAC) Unit Using Convolution Neural Networks (CNN) -- Implementing reinforcement learning for tackling smart grid pricing problem -- Teaching Learning Based Optimization Algorithm Approach for Water Management of Canal Command Area of Upper Ganga Canal -- Deep Learning Based Algorithmic Trading Based on News and Events Strategies -- Pothole Detection and Prediction using Deep Learning with Convnet and YOLOv8 -- Window Function Dependency on Male and Female Speech Signals for Pitch Extraction at Low SNRs -- Improvised Optical Flow Techniques to Track Vehicle Movements in a Drone Video – Hybrid Approach combining Lucas-Kanade and Horn-Schunck Methods -- Generation of Negative and Positive Association Rules using Modified Algorithm -- A Cutting Edge Algorithm for Interval-Valued Intuitionistic Fuzzy Decision Making Based on Mean, Variance of Alternative Score Matrices and A New Score Function -- Apple Scab Detection using Transfer Learning and Deep Convolutional Network -- Cloud Eye: A Tool to Secure Text, Images and Audios using Steganography -- A Green Inventory Model for New and Revamped Decaying Products with Partially Backlogged and Stock Dependent Demand -- A Machine Learning based approach to Assess and Predict Drought Events: A case of Rajasthan, India. |
| Record Nr. | UNINA-9910874686603321 |
Kumar Rajesh
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 2 / / edited by Rajesh Kumar, Ajit Kumar Verma, Om Prakash Verma, Tanu Wadehra
| Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 2 / / edited by Rajesh Kumar, Ajit Kumar Verma, Om Prakash Verma, Tanu Wadehra |
| Autore | Kumar Rajesh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (472 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
VermaAjit Kumar
VermaOm Prakash WadehraTanu |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Automatic control Robotics Automation Signal processing Computational Intelligence Artificial Intelligence Control, Robotics, Automation Signal, Speech and Image Processing |
| ISBN | 981-9720-89-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An extensive review on designing of blood bank management system -- Ensemble Models for vulnerability prediction using code metrics -- Echo State Networks for Cryptography: A Novel Framework for Key Generation and Secure Communication -- Exploration of Coarse-Graining and Threshold Selection of Lempel-Ziv Complexity on Vibroarthrographic Signals -- Image Super Resolution using Extensive Residual Network (ERN) for Orange fruit disease detection -- A Powerful High-Order B-Spline Galerkin Technique for Numerical Solutions of Advection-Diffusion Equation -- Some Explicit Formulas for Changhee-Genocchi Polynomials and Numbers -- Numerical Simulations of Third-Order Singularly Perturbed Boundary Value Problems -- A Study on λ-Analogue Type Of Degenerate Daehee Polynomials And Numbers -- Water Quality Prediction using Machine Learning -- Single Smart Card for Identity and Authentication Using Data Analytics -- Strategic Utilization of ChatGPT in Teaching and Learning -- Particle Based Swarm Fuzzy Optimization Approach in Vague Measurement of the Distance in Transportation Problems -- Design and Implementation of Network Coverage Area in WSN Using Swarm Optimization Techniques -- Divergence Models in Fuzzy Environment and Their Solicitations for the Development of Fuzzy Information Improvement Models -- ViT-ALZ: Vision Transformer with Deep Neural Network for Alzheimer’s Disease Detection -- Edge-ward computational offloading for Smart Waste Management System -- AMPpred-CNN: Prediction of antimicrobial peptide by using 1D convolution neural network and Composition/Transition/Distribution (CTD) encoding -- A hybrid system for detection of Stress using human emotions through voice -- Quasi-opposition based whale optimization applied to Multilevel Image thresholding -- Enhanced Georeferencing by adapting improvised Lens Distortion Correction in Stationary Drone Video Frames -- Feature Selection and Classification to detect Fetal Abnormalities -- Adoption of Blockchain Technologies into Forensic Accounting Practices -- Path Tracking Control of Mobile Manipulator with Skidding and Slipping -- Predicting Stock Market Prices Using a Hybrid of HighOrder Neural Networks and Barnacle Mating Optimization -- Stock Price Prediction Using LSTM & SVM -- Automated Plant disease detection: CNN for corn maize, tomato and potato -- Survey of Deep Learning Models for Image-Based Disease Detection in Plants -- A Comprehensive Review on Technological Advancements in Object Detection Deep Learning Models -- Identification and Classification of PV Array Faults Using Artificial Neural Network -- Ray Based Covid-19 Detection Using Preprocessing Techniques and Deep Learning Algorithms -- Threat or gift to academic: A case study on ChatGPT -- Breaking Barriers: Sign Language to Text Transformation in the Digital Era -- Sarcasm Detection and Classification using Deep Learning Model -- Suspicious Human Activity Detection through Video Analysis and Alert System: A Comprehensive Review -- Hybrid Deep Learning Techniquefor Leaf Disease Detection System -- A Comprehensive Review of Predicting Lifestyle based disease specifically PCOS among Women Using Data Mining and Machine Learning Approaches -- A Modified Honey Badger Algorithm with Logistic Map and Enhanced Exploitation -- Optimal Performance of a quantum Einstein heat engine with ecological function -- Performance Analysis of GIoU Loss Function for Object Tracking. |
| Record Nr. | UNINA-9910882886203321 |
|
Kumar Rajesh
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||