MOBILE6 inspection / maintenance benefits methodology for 1981 through 1995 model year light vehicles : M6.IM.001

• Record Nr.: UNINA9910712693103321
• Pubbl/distr/stampa: Washington, D.C, : United States Environmental Protection Agency, Air and Radiation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Hybrid and Advanced Technologies : Proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024), April 26-28, 2024, Ongole, Andhra Pradesh, India (Volume 1)

• Record Nr.: UNINA9910978266003321
• Autore: Jones Christydass S. Prasad
• Pubbl/distr/stampa: 2025; Milton : , : Taylor & Francis Group, , 2025; ©2025
• ISBN: 1-04-031086-9; 1-003-55911-5; 1-04-031083-4
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (908 pages)
• Classificazione: TEC000000TEC007000TEC009020
• Altri autori (Persone): NurhayatiNurhayati; KannadhasanS
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Machine learning
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Cover -- Title Page -- Copyright -- Table of Contents -- Preface -- Editor Biographies -- Scientific Committee -- Organising Committee -- An innovative method for prediction of tractor fuel consumption based on RBF-MLP-SVM model -- 1 Introduction -- 2 Literature Survey -- 3 ; Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- IoT based smart irrigation monitoring and controlling system using GA-CNN-BiGRU model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- An innovative method for plant disease detection using BiGRU and attention mechanism model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Classification of corn leaf disease in agriculture using improved convolutional neural networks in comparison with K-Nearest Neighbors classifier -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Comparison of biogas yield from the novel anaerobic codigestion sugarcane and corn stalk with cow dung in biodigester -- 1 Introduction -- 2 Materials And Methodologies -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Quality checking of sugarcane to identify the disease using CNN algorithm compare with LSTM to improve accuracy -- 1 Introduction -- 2 Materials And Methods -- 3 Result And Discussion -- 4 Discussion -- 5 Conclusion -- References -- Comparison of biogas yield from the novel anaerobic co-digested agriculture and wood industrial waste with food waste in biodigester -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Machine learning based approaches for prompt diagnosis of aquatic plant ailments -- 1 Introduction -- 2 Methodology -- 3 Result And Discussion.; 4 Conclusion -- References -- Development of greenhouse automation using machine learning with remote monitoring control -- 1 Introduction -- 2 Methodology -- 3 Result And Discussion -- 4 Conclusion -- References -- Enhancing pepper growth and yield through disease identification in plants using leaf-based deep learning techniques -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Dual-stage deep learning: A new approach to enhancing species-specific plant disease detection -- 1 Introduction -- 2 Methodology -- 3 Dual Stage Approach -- 4 Result And Discussion -- 5 Conclusion -- References -- Machine learning approaches for early detection and prevention of late blight and early blight diseases in potato and tomato plants -- 1 Introduction -- 2 Methodology -- 3 Result And Discussion -- 4 Conclusion -- References -- Improving groundnut crop production in India using machine learning algorithms -- 1 Introduction -- 2 Methodology -- 3 Methodology -- 4 Conclusion -- References -- Smart irrigation optimization through the integration of machine learning and IoT for sustainable agriculture -- 1 Introduction -- 2 Methodology -- 3 Result And Discussion -- 4 Conclusion -- References -- IoT-driven machine learning for precision agriculture for revolutionizing crop management -- 1 Introduction -- 2 Methodology -- 3 Result And Discussion -- 4 Conclusion -- References -- Assessing the effects of rutin trihydrate conjugated zinc oxide nanoparticles exposure on the behavior of zebrafish larvae compared to an untreated group -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Assessing the impact of 2-methylimidazole exposure on neurobehavior in zebrafish larvae comparing with an untreated control group -- 1 Introduction.; 2 Materials And Method -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Exploring the novel therapeutic agents against dihydrofolate reductase through comparative molecular docking -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion ; -- 5 Conclusion -- References -- Designing molecular lead compounds against the enolase protein through the process called comparative molecular docking which leads to toxoplasmosis -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- An innovative method for earthquake prediction system based on LSTM-GAN model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Exploring job stress and job satisfaction in university teaching with a GA-ANN framework -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- The impact of social networking sites on students' social wellbeing and academic performance based on RBF-Elman techniques -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Enhancing entrepreneurial skills: A BERT-CNN-LSTM approach to student practical training -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- The hybrid HCNN-KNN model: Transforming classroom effectiveness through intelligent teaching quality evaluation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- A novel approach for battery management systems for electric vehicles based on CNN-BiGRU model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References.; Short-term electric vehicle charging load forecasting in low-quality data environments using CNN-SVM approach -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Cybersecurity analysis of an electric vehicle based on its performance using hybrid KNN-SOM-DT model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Advancing vehicle energy systems: Optimisation of fuel-cell hybrid electric vehicles using parallel LSTM and CNN -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Large-scale data-driven financial risk management &amp -- analysis using back propagation neural network technique -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Application of neural network in analysis of stock market prediction based on VG16-CNN-SVM model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Predicting stock market trends using ANN-spiking neural network via public sentiment and political situation analysis -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Comparative study on biological impacts of food preservation of canned fish and salted fish -- 1 Introduction -- 2 Materials And Methods -- 3 Result -- 4 Discussion -- 5 Conclusion -- References -- Prediction of gestational diabetes mellitus using visceral fat measurements with enhanced accuracy rate by voted perceptron classifier and K-nearest neighbour classifier -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References.; Improving diabetes healthcare with personalized management and monitoring through the integration of machine learning techniques -- 1 Introduction -- 2 Methodology -- 3 Result And Discussion -- 4 Conclusion -- References -- A novel approach for detecting breast cancer in mammography images using RBF-ELM model -- 1 ; Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Determination of Chikungunya outbreak forecasting using Gaussian Naive Bayes algorithm with bootstrap over linear regression algorithm for improved accuracy -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussions -- 5 Conclusion -- References -- An image processing method for kidney stone segmentation in CT scan images based on CNN-regularized extreme learning machine approach -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Result And Discussion -- 5 Conclusion -- References -- Enhancing the accuracy of rheumatoid arthritis by comparing K-nearest neighbors with wide neural networks -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Improved prediction of hypotensive occasions in hemodialysis through the comparison of wide and bilayered neural network classifiers for accuracy and sensitivity -- 1 Introduction -- 2 Materials And Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Predicting student stress levels and mental health using convolutional neural network algorithm in comparison with logistic regression -- 1 Introduction -- 2 Materials And Methods -- 3 Result -- 4 Discussion -- 5 Conclusion -- References -- Effective method for detecting pancreatic adenocarcinoma with increased accuracy by comparing with the Naive Bayes algorithm and using machine learning-based convolution neural network -- 1 Introduction.; 2 Materials And Methods.
• Sommario/riassunto: The proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024) present a rich repository of cutting-edge research on the various applications of machine learning, deep learning, and AI in cybersecurity, healthcare, agriculture and communication systems.