LEADER 01057nam0-2200313---450- 001 990008520020403321 005 20130115104610.0 035 $a000852002 035 $aFED01000852002 035 $a(Aleph)000852002FED01 035 $a000852002 100 $a20070531d1969----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa---a---001yy 200 1 $aLight, color and environment$ea thorough presentation of facts on the biological and psychological effects of color-plus historical data and detailed recommendations for the resultful use of color in modern human environments$fFaber Birren 210 $aNew York [etc.]$cVan Nostrand Reinhold$d1969 215 $a131 p.$cill.$d29 cm 610 0 $aArti grafiche$aAmbiente 700 1$aBirren,$bFaber$0322142 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008520020403321 952 $a08 AA 16$b2658 C.E.$fDINED 952 $aEST B 136$b7952$fFARBC 959 $aDINED 959 $aFARBC 996 $aLight, color and environment$9332825 997 $aUNINA LEADER 11386nam 22006013 450 001 9910978266003321 005 20250802110027.0 010 $a1-04-031086-9 010 $a1-003-55911-5 010 $a1-04-031083-4 035 $a(MiAaPQ)EBC31727572 035 $a(Au-PeEL)EBL31727572 035 $a(CKB)37407479700041 035 $a(OCoLC)1496395249 035 $a(NjHacI)9937407479700041 035 $a(ODN)ODN0011161957 035 $a(EXLCZ)9937407479700041 100 $a20250203d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid and Advanced Technologies $eProceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024), April 26-28, 2024, Ongole, Andhra Pradesh, India (Volume 1) 205 $a1st ed. 210 $d2025 210 1$aMilton :$cTaylor & Francis Group,$d2025. 210 4$dİ2025. 215 $a1 online resource (908 pages) 311 08$a1-03-290254-X 327 $aCover -- 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. 327 $a4 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. 327 $a2 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. 327 $aShort-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 & -- 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. 327 $aImproving 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. 327 $a2 Materials And Methods. 330 $aThe 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. 606 $aArtificial intelligence$vCongresses 606 $aMachine learning 615 0$aArtificial intelligence 615 0$aMachine learning. 676 $a006.3 686 $aTEC000000$aTEC007000$aTEC009020$2bisacsh 700 $aJones Christydass$b S. 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