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Genetics of Biodegradation and Bioremediation
| Genetics of Biodegradation and Bioremediation |
| Autore | Santero Eduardo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
Biology, life sciences
Research and information: general |
| Soggetto non controllato |
2,3-seco pathway
4,5-seco pathway 9,10-seco pathway Acinetobacter ALE anaerobic anaerobic biodegradation AraC Azoarcus bacteria benzoate bile acids biodegradation bioethanol bioremediation biosensor biotransformations biphenyl bph gene Carbaryl carbon catabolite repression catabolic pathway catabolism complete genome sequence consortium diesel ethylene glycol evolution furfural gene regulation genome sequence horizontal gene transfer hydrocarbons integrative conjugative element integrative conjugative elements lin genes LTTR LysR metagenomics mobile DNA mobile genetic elements muconate naphthalene PAHs pangenome pathway assembly pesticide phytoremediation plant growth promotion plastics polyethylene terephthalate promoter architecture Pseudomonas redox proteins regulation rhizoremediation Rhodococcus sp. strain TFB soil pollution Sphingopyxis granuli strain TFA Sphingopyxis lindanitolerans steroid steroid hormones sterols sustainability synergism terephthalate testosterone tetralin toluene TPH transcription factor transcriptomic transposons upcycling valorisation xenobiotics γ-HCH degradation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557116903321 |
Santero Eduardo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Management and Big Data [[electronic resource] ] : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
| Information Management and Big Data [[electronic resource] ] : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas |
| Autore | Lossio-Ventura Juan Antonio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 004.6 |
| Altri autori (Persone) |
Valverde-RebazaJorge
DíazEduardo Alatrista-SalasHugo |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Computer engineering Artificial intelligence Education—Data processing Social sciences—Data processing Image processing—Digital techniques Computer vision Computer Communication Networks Computer Engineering and Networks Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35445-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Preliminary Analysis of Twitter's LGBTQ + Discussions -- User-agnostic Model for Prediction of Retweets Based on Social Neighborhood Information -- Segmentation and classification of pages for digitized documents of the Public Prosecutor's Oce -- A Semantic Query Engine for Knowledge Rich Legal Digital Libraries -- Getting Quechua Closer to Final Users through Knowledge Graphs -- Using features based on elongation to enhance sentiment analysis -- Image Generation from sketches and text-guided attribute edition -- ADRAS: Airborne Disease Risk Assessment System for Closed Environments -- Predictive Sentiment Analysis Model regarding the variation of the Dollar Exchange Rate -- Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds -- Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data -- Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco) -- Optimal layer selection on Deep Convolutional Neural Networks using backward freezing and binary Search -- Profiling Public Service Accessibility based on the Public Transport Infrastructure -- Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes -- Soil Organic Carbon Prediction using Digital Color Sensor in Peru -- Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web -- Smart doorbell with Telegram notification for multifamily dwellings -- Performance analysis of machine learning for food fraud prediction. |
| Record Nr. | UNISA-996546830903316 |
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Lossio-Ventura Juan Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Information Management and Big Data : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
| Information Management and Big Data : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas |
| Autore | Lossio-Ventura Juan Antonio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 004.6 |
| Altri autori (Persone) |
Valverde-RebazaJorge
DíazEduardo Alatrista-SalasHugo |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Computer engineering Artificial intelligence Education—Data processing Social sciences—Data processing Image processing—Digital techniques Computer vision Computer Communication Networks Computer Engineering and Networks Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35445-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Preliminary Analysis of Twitter's LGBTQ + Discussions -- User-agnostic Model for Prediction of Retweets Based on Social Neighborhood Information -- Segmentation and classification of pages for digitized documents of the Public Prosecutor's Oce -- A Semantic Query Engine for Knowledge Rich Legal Digital Libraries -- Getting Quechua Closer to Final Users through Knowledge Graphs -- Using features based on elongation to enhance sentiment analysis -- Image Generation from sketches and text-guided attribute edition -- ADRAS: Airborne Disease Risk Assessment System for Closed Environments -- Predictive Sentiment Analysis Model regarding the variation of the Dollar Exchange Rate -- Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds -- Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data -- Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco) -- Optimal layer selection on Deep Convolutional Neural Networks using backward freezing and binary Search -- Profiling Public Service Accessibility based on the Public Transport Infrastructure -- Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes -- Soil Organic Carbon Prediction using Digital Color Sensor in Peru -- Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web -- Smart doorbell with Telegram notification for multifamily dwellings -- Performance analysis of machine learning for food fraud prediction. |
| Record Nr. | UNINA-9910731470403321 |
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Lossio-Ventura Juan Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Management and Big Data : 11th Annual International Conference, SIMBig 2024, Ilo, Peru, November 20–22, 2024, Proceedings / / edited by Juan Antonio Lossio-Ventura, Eduardo Ceh-Varela, Eduardo Díaz, Freddy Paz Espinoza, Claude Tadonki, Hugo Alatrista-Salas
| Information Management and Big Data : 11th Annual International Conference, SIMBig 2024, Ilo, Peru, November 20–22, 2024, Proceedings / / edited by Juan Antonio Lossio-Ventura, Eduardo Ceh-Varela, Eduardo Díaz, Freddy Paz Espinoza, Claude Tadonki, Hugo Alatrista-Salas |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 418 p. 145 illus., 124 illus. in color.) |
| Disciplina | 004.6 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Computer engineering Artificial intelligence Education - Data processing Social sciences - Data processing Image processing - Digital techniques Computer vision Computer Communication Networks Computer Engineering and Networks Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-91428-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning and Deep Learning -- Preserving Hidden Hierarchical Structure: Poincaré Distance for Enhanced Genomic Sequence Analysis -- EPIC: Enhancing Privacy through Iterative Collaboration -- DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging -- An Scoping Review: Explainable Deep Learning Approach for Automated Sismo-Volcanic Event Classification -- Machine Learning Algorithms for Predicting Student Dropout in Engineering Programs -- A Deep Learning Model for Ingredient and Meal Quantity Estimation in Type 2 Diabetes Care -- Parallel Multi-objective Evolutionary Algorithms: A Systematic Literature Review -- Application of Multilayer Perceptron: Analysis of Socioeconomic Factors of Poverty in Peru -- Predicting Shear Strength at the Joint of a Beam and a Column Using Supervised Learning and Multivariate Neural Networks -- Prediction of Maximum Rainfall for Early warning of Heavy Rainfall with Multivariable Long-term Memory Networks and Temporal Transformers -- Electricity Demand Time Series Benchmark -- Natural Language Processing -- Leveraging LLMs for Enhanced Personality Trait Classification -- Comparison of Neural Network Models for the Implementation of a Chatbot in the University Admission Process -- Enhancing Academic Profiling with Advanced NLP Techniques: SBERT + KeyBERT -- Making an Under-Resourced Language Available on the Wikidata Knowledge Graph: Quechua Language -- Enhancing BERT Classification by Increasing Training Corpus Using Paraphrasing -- Transformer GPT-2 Model for Code Prediction in Machine Learning Projects -- Small Electra for Hate: A Transformer Lightweight Approach to Hate Text Classification -- Mining of Social Networks and Online Platforms -- Predictive Model Applying Sentiment Analysis on Tweets to Determine the Behavior of the Cryptocurrency Bitcoin -- ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels -- A Comparison of Classication Algorithms for Disaster Tweets -- Explainable Sentiment Analysis on Restaurant Reviews using an Evolutionary Algorithm -- Signal and Image Processing -- Spanish Historical Handwritten Text Recognition with Deep Learning -- Methodological Approach for the Development of a Mountain Glacier Dataset Using Satellite Imagery for Deep Learning Applications -- An Efficient Automatic Classification Hybrid Model to Identify Images of Commercial Starchy Corn -- Hybrid Quantum Model for Brain Tumor Classification -- Safycash: Mobile Application for Authentic Banknote Detection Using Image Processing Libraries and Convolutional Neural Networks -- Development of 1D-CNN Methods for Classifying Pediatric Epilepsy through EEG Signals. |
| Record Nr. | UNINA-9911003596003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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