Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Data Science and Management : Proceedings of ICDSM 2021
| Advances in Data Science and Management : Proceedings of ICDSM 2021 |
| Autore | Borah Samarjeet |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2022 |
| Descrizione fisica | 1 online resource (620 pages) |
| Disciplina | 658.4030285 |
| Altri autori (Persone) |
MishraSambit Kumar
MishraBrojo Kishore BalasValentina Emilia PolkowskiZdzislaw |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| ISBN |
981-16-5685-1
981-16-5684-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743219203321 |
Borah Samarjeet
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Data Science and Management [[electronic resource] ] : Proceedings of ICDSM 2019 / / edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski
| Advances in Data Science and Management [[electronic resource] ] : Proceedings of ICDSM 2019 / / edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (551 pages) |
| Disciplina | 658.403 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Data mining Computational Intelligence Artificial Intelligence Big Data Data Mining and Knowledge Discovery |
| ISBN | 981-15-0978-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Data and Knowledge Visualization -- Knowledge Discovery and Management -- Application of Data in Cloud -- Deep Learning -- Natural Language Processing, Geo Location Handling -- Application of Data Mining Methods -- Big Data and Applications -- Applications of Virtualized Data.-Data Intelligence in IoT -- Industry 4.0 and Digital Manufacturing -- Data Driven Approximation -- Traffic Engineering -- Artificial Intelligence -- Applications in Transportation -- Jet Grouting Column Diameter Prediction -- Case Studies -- Conclusion. |
| Record Nr. | UNINA-9910484967503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI in Manufacturing and Green Technology : Methods and Applications / / edited By Sambit Kumar Mishra, Zdzislaw Polkowski, Samarjeet Borah, Ritesh Dash
| AI in Manufacturing and Green Technology : Methods and Applications / / edited By Sambit Kumar Mishra, Zdzislaw Polkowski, Samarjeet Borah, Ritesh Dash |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2020 |
| Descrizione fisica | 1 online resource (166 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial Intelligence |
| ISBN |
1-00-303246-X
1-003-03246-X 1-000-17189-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Concept of green computation linked to cloudlets : A case study / Zdzislaw Polkowski, Suman Sourav Prasad, Sambit Kumar Mishra -- Scheduling tasks in virtual machines using ant colony optimization technique / Samarjeet Borah, Sambit Kumar Mishra -- A CMOS based improved Wilson OP-AMP for green communication applications / Suraj Pattanaik, Nirupama Dee. |
| Record Nr. | UNINA-9910794342803321 |
| Boca Raton : , : CRC Press, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI in Manufacturing and Green Technology : Methods and Applications / / edited By Sambit Kumar Mishra, Zdzislaw Polkowski, Samarjeet Borah, Ritesh Dash
| AI in Manufacturing and Green Technology : Methods and Applications / / edited By Sambit Kumar Mishra, Zdzislaw Polkowski, Samarjeet Borah, Ritesh Dash |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2020 |
| Descrizione fisica | 1 online resource (166 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial Intelligence |
| ISBN |
1-00-303246-X
1-003-03246-X 1-000-17189-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Concept of green computation linked to cloudlets : A case study / Zdzislaw Polkowski, Suman Sourav Prasad, Sambit Kumar Mishra -- Scheduling tasks in virtual machines using ant colony optimization technique / Samarjeet Borah, Sambit Kumar Mishra -- A CMOS based improved Wilson OP-AMP for green communication applications / Suraj Pattanaik, Nirupama Dee. |
| Record Nr. | UNINA-9910818883303321 |
| Boca Raton : , : CRC Press, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence for Smart Healthcare [[electronic resource] /] / edited by Parul Agarwal, Kavita Khanna, Ahmed A Elngar, Ahmed J. Obaid, Zdzislaw Polkowski
| Artificial Intelligence for Smart Healthcare [[electronic resource] /] / edited by Parul Agarwal, Kavita Khanna, Ahmed A Elngar, Ahmed J. Obaid, Zdzislaw Polkowski |
| Autore | Agarwal Parul |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (527 pages) |
| Disciplina | 610.28563 |
| Altri autori (Persone) |
KhannaKavita
ElngarAhmed A ObaidAhmed J PolkowskiZdzislaw |
| Collana | EAI/Springer Innovations in Communication and Computing |
| Soggetto topico |
Telecommunication
Artificial intelligence Medical informatics Computational intelligence Communications Engineering, Networks Artificial Intelligence Health Informatics Computational Intelligence |
| ISBN | 3-031-23602-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Section–1: Fundamentals -- Introduction to Technologies for Smart healthcare -- Drivers and inhibitors of AI in Smart Healthcare -- Current scenario of healthcare compared with smart healthcare -- Section-2: Technologies for Smart healthcare -- Big data analytics in healthcare -- Deep Learning/ Machine learning based diagnostic model for personalized healthcare -- Disease diagnosis and treatment using AI -- AI in medical devices: development and usage, challenges and future frontiers -- AI and drug discovery -- Predictive modelling for diseases and pandemics -- Robotics and AI -- IoT/ IoE based architecture for healthcare -- Advances in M-Health and E-Health -- Emerging trends, paradigms and technologies in smart healthcare -- Section- 3: Challenges and solutions -- Security and Privacy of medical Data/ electronic health records -- Ethical and legal implications of AI driven healthcare -- Strategies and policies as solutions to the existing challenges -- Section 4: Practical aspect -- Case study on Covid-19 -- Conclusion. |
| Record Nr. | UNINA-9910731470103321 |
|
Agarwal Parul
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive Computing for Risk Management
| Cognitive Computing for Risk Management |
| Autore | Samanta Sasmita Rani |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (166 pages) |
| Altri autori (Persone) |
MallickPradeep Kumar
PattnaikPrasant Kumar MohantyJnyana Ranjan PolkowskiZdzislaw |
| Collana | EAI/Springer Innovations in Communication and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-74517-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Key Features -- About the Book -- Contents -- About the Editors -- The Cognitive Approach to Entrepreneurship: An Agenda for Future Research -- 1 Introduction -- 2 Cognition and Social Cognition -- 3 Literature Review Study Design -- 3.1 Theoretical Foundations in the Selected Studies -- 4 Discussion on Research Themes -- 4.1 Personal Factors -- 4.1.1 Age -- 4.1.2 Gender -- 4.1.3 Role of Education -- 4.1.4 Network -- 4.2 Entrepreneurial Qualities -- 4.2.1 Intention -- 4.2.2 Social Cognition -- 4.2.3 Creativity and Innovation Ability -- 4.2.4 Entrepreneurial Self-Efficacy (ESE) -- 4.2.5 Leadership Skills -- 4.2.6 Values and Ethics -- 4.2.7 Growth Mindset Interventions and ESE -- 4.2.8 Emotions and Well-being -- 4.3 Family Business -- 4.4 Intrapreneurship -- 4.5 Processes -- 4.5.1 Entrepreneurial Opportunity -- 4.5.2 Information-Processing Framework of Entrepreneurship (I-Pe) -- 4.5.3 Decision-Making and Firm Performance -- 4.6 Situation -- 4.6.1 Role of Region or Location -- 4.6.2 Sector -- 4.7 Dataset, Methods, and Analyses in the Selected Studies -- 5 Additional Literature on Cognition Research -- 6 Limitations -- 7 Future Research Direction -- References -- Impact of Select Cognitive Distortions on Emotional Stress -- 1 Introduction -- 2 Methodology -- 3 Result and Discussion -- 4 Conclusion -- References -- An Empirical Note on Influence of Cognitive Barriers on Drug Adherence -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 4.1 ANOVA (Denial vs. Adherence) -- 4.2 ANOVA (Refusal vs. Adherence) -- 4.3 ANOVA (Mistrust vs. Adherence) -- 4.4 Discriminant Analysis (Denial) -- 4.5 Discriminant Analysis (Refusal) -- 4.6 Discriminant Analysis (Mistrust) -- 4.7 Discriminant Analysis (Combined for All the Three Latent Constructs - Denial, Refusal and Mistrust) -- 5 Conclusion -- References.
Study on the Effects of Startup Ecosystem Components on Overcoming Death-Valley in SMEs - Focusing on the Mediating Effect of the Win-Win Platform -- 1 Introduction -- 2 Materials and Methods -- 2.1 Concept of Startup Ecosystem -- 2.1.1 Concept of Policy -- 2.1.2 Concept of Human Resource -- 2.1.3 Concept of Finance -- 2.2 Concept of Win-Win Platforms -- 2.3 Concept of Overcoming Death-Valley -- 2.4 Win-Win Platform and Death-Valley Overcoming Relationship -- 2.5 The Research Model and Hypothesis -- 2.5.1 Research Model -- 2.5.2 Research Hypothesis -- 2.5.3 Operational Definition of Variables -- 3 Results and Discussion -- 3.1 Empirical Discussion -- 3.1.1 Analysis of Demographic Characteristics and Descriptive Statistics -- 3.1.2 Exploring Factors and Reliability Analysis -- 3.1.3 Pearson's Correlation Analysis -- 3.1.4 Hypothesis Test Result -- 3.1.5 Mediated Effect Analysis -- 4 Conclusion -- References -- A Study on the Effect of the Collaboration Motive of Partners Participating in the Consulting Project on Relationship Commitment and Collaboration Performance -- 1 Introduction -- 2 Materials and Methods -- 2.1 Literature Review -- 2.1.1 Management Consulting -- 2.1.2 Consultant's Collaboration Motive -- 2.1.3 Relationship Commitment -- 2.1.4 Collaboration Performance -- 2.2 The Research Model and Hypothesis -- 2.2.1 Research Model -- 2.2.2 Research Hypothesis -- 2.2.3 Operational Definition of Variables -- 3 Results and Discussion -- 3.1 Empirical Analysis Results -- 3.1.1 Demographic Characteristic Analysis -- 3.1.2 Exploratory Factor Analysis and Reliability Analysis -- 3.1.3 Correlation Analysis -- 3.1.4 Hypothesis Test Result -- 3.1.5 Mediated Effect Analysis -- 4 Conclusion -- References. A Study on the Influence of Consulting Execution Characteristics on Result Quality and Business Utilization: Focusing on Companies Participating in Government-Supported Consulting Projects -- 1 Introduction -- 2 Materials and Methods -- 2.1 Theoretical Background -- 2.1.1 Consulting Performance Characteristics -- 2.1.2 Result Quality -- 2.1.3 Business Utilization -- 2.2 Research Model -- 2.3 Research Hypotheses -- 2.4 Method of Study -- 2.4.1 Data Collection -- 2.4.2 Operational Definition and Measurement of Variables -- 2.4.3 Statistical Analysis Method -- 3 Results and Discussion -- 3.1 Empirical Analysis -- 3.1.1 Sample Characteristics -- 3.1.2 EFA and Reliability Analysis -- 3.1.3 Confirmatory Factor Analysis -- 3.1.4 Discriminant Validity -- 3.2 Results of Hypotheses Test -- 3.2.1 Structural Model Analysis -- 3.2.2 Results of Hypotheses Test -- 4 Conclusion -- 4.1 Summary of Results and Implications -- 4.2 Research Limitations and Future Directions -- References -- The Impact of Sustainable Management Activities on Corporate Management Performance: Mediating Effect of Competitive Advantage -- 1 Introduction -- 2 Background -- 2.1 Sustainable Management Activities -- 2.2 Competitive Advantage -- 2.3 Management Performance -- 3 The Research Model and Hypothesis -- 3.1 Research Model -- 3.2 Research Hypothesis -- 3.3 Operational Definition of Variables -- 4 Results and Discussion -- 4.1 Research Model -- 4.2 Hypothesis Test Result -- 5 Conclusion -- References -- A Study on the Impact of Startups of Security Awareness on the Sustainability of Corporate Growth -- 1 Introduction -- 2 Materials and Methods -- 2.1 Collecting Data -- 2.2 Research Model -- 2.3 Research Hypothesis -- 2.4 Operational Definition of Variables -- 3 Results and Discussion -- 3.1 Statistical Analysis Results -- 3.1.1 Technical Statistics Analysis. 3.1.2 Confirmatory Factor Analysis -- 3.1.3 Correlation Analysis -- 3.1.4 Multicollinearity Verification -- 3.2 Hypothesis Verification -- 3.2.1 Structural Equation Modeling -- 3.2.2 Mediating Effect Analysis -- 4 Conclusion -- References -- A Case Study on the Association of Supporting Large Enterprises for Win-Win Growth on the Internal Effect of Employees of Primary Partner SMEs in Korea -- 1 Introduction -- 2 Materials and Methods -- 2.1 Variable -- 2.2 Statistical Analysis -- 3 Results and Discussion -- 4 Conclusion -- References -- The Influence of Consultant Competency and Consulting Service Quality on Small-Medium Enterprise's Management Performance -- 1 Introduction -- 2 Theoretical Considerations -- 2.1 SME Consulting Overview -- 2.2 Consultation on the Capabilities of Consultants -- 2.3 Management Consulting Service Quality Consideration -- 2.4 Examining the Relationship Between Consultant Competency and Management Consulting Service Quality and Management Performance -- 3 Research Method -- 3.1 Research Problem -- 3.2 Research Method -- 4 Research Results -- 4.1 Demographic Characteristics -- 4.2 Validation and Reliability of Measurement Tools -- 4.3 Descriptive Statistics and Correlation Matrix -- 4.4 Results -- 5 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910502594003321 |
|
Samanta Sasmita Rani
|
||
| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovations in Information and Communication Technologies (IICT-2020) [[electronic resource] ] : Proceedings of International Conference on ICRIHE - 2020, Delhi, India: IICT-2020 / / edited by Pradeep Kumar Singh, Zdzislaw Polkowski, Sudeep Tanwar, Sunil Kumar Pandey, Gheorghe Matei, Daniela Pirvu
| Innovations in Information and Communication Technologies (IICT-2020) [[electronic resource] ] : Proceedings of International Conference on ICRIHE - 2020, Delhi, India: IICT-2020 / / edited by Pradeep Kumar Singh, Zdzislaw Polkowski, Sudeep Tanwar, Sunil Kumar Pandey, Gheorghe Matei, Daniela Pirvu |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (457 pages) |
| Disciplina | 004 |
| Collana | Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development |
| Soggetto topico |
Electronic commerce
Sustainability Study Skills Educational technology Biotic communities E-Business Study and Learning Skills Digital Education and Educational Technology Ecosystems |
| ISBN | 3-030-66218-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Digitization of Financial Markets: A Literature Review on White-collar crimes -- Intervention of Chatbots –Recruitment Made Easy!!!! -- Affecting attributes to use food ordering app by young consumers -- Exploring influencing factors for m payment apps uses in the Indian context -- Modelling Enablers of Customer-Centricity in Convenience Food Retail -- Emotion AI: Integrating Emotional Intelligence with Artificial Intelligence in the digital workplace -- Factors affecting online grocery shopping in Indian culture -- A Study on Role of Digital Technologies & Employee Experience -- Driving employee engagement in today’s dynamic workplace: A literature review -- Is Online Teaching Learning Process An Effective Tool For Academic Advancement. |
| Record Nr. | UNINA-9910492139303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of Data Analytics and Management : ICDAM 2021, Volume 2
| Proceedings of Data Analytics and Management : ICDAM 2021, Volume 2 |
| Autore | Gupta Deepak |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2022 |
| Descrizione fisica | 1 online resource (850 pages) |
| Altri autori (Persone) |
PolkowskiZdzislaw
KhannaAshish BhattacharyyaSiddhartha CastilloOscar |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9789811662850
9789811662843 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510542703321 |
|
Gupta Deepak
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of Data Analytics and Management : ICDAM 2023, Volume 2
| Proceedings of Data Analytics and Management : ICDAM 2023, Volume 2 |
| Autore | Swaroop Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (666 pages) |
| Disciplina | 005.7565 |
| Altri autori (Persone) |
PolkowskiZdzislaw
CorreiaSérgio Duarte VirdeeBal |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9965-47-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- ICDAM-2023 Steering Committee Members -- Preface -- Contents -- Editors and Contributors -- Sentiment Classification on Suicide Notes Using Bi-LSTM Model -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection Phase -- 3.2 Data Preprocessing Phase -- 3.3 Bi-LSTM Model -- 4 Results and Analysis -- 4.1 Implementation Details for Preprocessing Phase -- 4.2 Implementation Details and Results for Bi-LSTM Model -- 5 Conclusion -- References -- Machine Learning-Based Blind Image Quality Assessment: A Review -- 1 Introduction -- 2 Literature Survey -- 2.1 CNN/DNN-Based Approaches -- 2.2 Non-CNN/DNN-Based Approaches -- 3 Conclusion -- References -- Analysis of Blockchain Technology IoT and RPA in Supply Chain Management -- 1 Introduction -- 2 Motivation -- 3 Related Work -- 4 Proposed Methodology -- 5 Data Analysis -- 5.1 Internet of Things -- 5.2 Blockchain Technology -- 5.3 RPA Has High Accuracy, Quality, and Consistency of the IT Solutions. -- 5.4 Discussion -- 6 Conclusion -- References -- Sentiment Hotspots' Extraction in Large Text Documents Using Neutrosophic Sets -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Proposed Methodology -- 4.1 Text Preprocessing -- 4.2 Sentiment Hotspots -- 4.3 Find Document Sentiment Polarity -- 5 Experiments and Results -- 6 Conclusion and Future Scope -- References -- Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models -- 1 Introduction -- 2 Literature Review -- 3 Research Gap -- 4 Objective -- 5 Methodology -- 5.1 Problem Statement -- 6 Theoretical Framework -- 7 Exploratory Data Analysis (EDA) -- 7.1 Dataset Description -- 7.2 Data Cleaning -- 7.3 Observations -- 8 Implementation and Results Discussion -- 9 Conclusion -- 10 Future Scope -- References.
Prediction-Based Analysis of Diesel Prices Using Naïve Bayes Classifier Model -- 1 Introduction -- 1.1 How Machine Learning Works? -- 1.2 Classification of Machine Learning -- 2 Naïve Bayes Classifier Algorithm -- 2.1 Steps to Apply Naïve Bayes Classifier on the Dataset -- 3 Literature Survey -- 4 Result Analysis -- 5 Conclusion -- References -- Abnormality Detection in Smartphone-Captured Chest Radiograph Using Multi-pretrained Models -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement -- 4 Methodology -- 4.1 Data Gathering and Specification -- 4.2 Data Preprocessing and Augmentation -- 4.3 Model Development -- 5 Result Analysis -- 6 Conclusion -- References -- Offensive Tweets Detection in Hinglish Using HingBERT -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 L3Cube-HingLID Corpus -- 3.2 HingBERT -- 3.3 HingMBERT-Mixed -- 3.4 HingRoBERTa-Mixed -- 3.5 Dataset -- 3.6 Pre-processing -- 4 Results and Discussion -- 4.1 Evaluation Parameters -- 4.2 Experimentation Setup -- 4.3 Results -- 5 Conclusion and Future Scope -- 5.1 Future Scope -- 5.2 Conclusion -- References -- Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Questionnaire -- 2.3 Data Collection -- 2.4 Data Analysis -- 3 Results and Discussions -- 3.1 Results -- 3.2 Discussion -- 4 Conclusions -- References -- Deep Learning Applications in Thermal IR Image Processing -- 1 Introduction -- 2 Related Study -- 3 Proposed Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- MRI Image Segmentation: Brain Tumor Detection and Classification Using Machine Learning -- 1 Introduction -- 1.1 AI in Health Care -- 1.2 Tumor Classification -- 1.3 Benefits of Early Detection -- 2 Literature Review -- 3 Objective. 4 Key Contributions -- 5 Dataset Used -- 6 Convolution Neural Network (CNN) -- 7 Experiment -- 7.1 Evaluation of CNN Performance -- 8 Results and Discussion -- 9 Conclusion and Future Scope -- References -- Comparative Study of CNN and LSTM on Short-Term Future Stock Price Prediction -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Implementation -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Cloud-Based Swarm Robotics for Modern Agriculture -- 1 Introduction -- 2 Literature Survey -- 2.1 Motivation -- 2.2 Features -- 3 Problem Statement -- 3.1 Objectives -- 3.2 Model Implementation -- 3.3 Process of Monitoring Temperature -- 3.4 Monitoring Soil Moisture -- 3.5 Plow -- 3.6 Seeding -- 3.7 Temperature and Soil Moisture Sensing -- 3.8 Water Pumping -- 3.9 Harvesting -- 3.10 Humidity Sensing -- 4 Working of SWARM Agriculture System -- 5 Workflow of the Prototype Model -- 6 Results -- 7 Conclusion and Future Scope -- References -- Application of Species Distribution Modelling in Agriculture: A Review -- 1 Introduction -- 2 Evolution of Species Distribution Models -- 3 Overview of SDM-based Software Packages -- 3.1 BIOCLIM-SDM-based Software Package -- 3.2 CLIMEX-SDM-based Software Package -- 3.3 Maximum Entropy Species Distribution Modelling (MAXENT) -- 4 Applications of Species Distribution Modelling (SDM) -- 4.1 SDM in Natural Ecology: Ecosystem and Biodiversity -- 4.2 SDM in Agriculture -- 5 Analysis and Discussion -- 5.1 Limitations Identified in Literature -- 5.2 Future Trends of SDM -- 6 Conclusion -- References -- Prediction of Particulate Matter (PM2.5) for Industrial Area Based on Naive Bayes Classifier -- 1 Introduction -- 2 Material and Methods -- 2.1 Machine Learning Classifiers -- 2.2 Performance Evaluation of ML Classifiers -- 3 Results and Discussion -- 4 Conclusion -- References. Hybrid Cyber-Attack Detection Model on Cyber-Physical Systems Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Data Preprocessing -- 3.2 Incremental Principal Component Analysis (IPCA) -- 3.3 Logistic Regression -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Experimental Description -- 5 Conclusion -- References -- Optimizing 3D Assets and Character Modeling of the Mixed Reality Simulator in a Disaster Mitigation Learning Using Vertex Decimation and Depth-of-Field Algorithm -- 1 Introduction -- 2 Theoretical Background -- 2.1 3D Optimization Method Definition -- 2.2 Mixed Reality -- 2.3 Disaster Mitigation -- 2.4 Vertex Decimation -- 2.5 Depth of Field (DoF) -- 3 Related Work -- 4 Proposed Method -- 4.1 3D Asset and Character Optimization -- 5 Results and Discussion -- 6 Conclusion -- References -- Modification of the Haar Wavelet Algorithm for Texture Identification of Types of Meat Using Machine Learning -- 1 Introduction -- 2 Theoretical Background -- 2.1 Haar Wavelet Method -- 2.2 Modification of the Haar Wavelet -- 2.3 Machine Learning -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Steps Preprocessing -- 3.3 Feature Extraction Techniques -- 3.4 Training Data -- 3.5 Image Processing -- 3.6 Machine Learning Model -- 4 Result and Discussion -- 5 Conclusion -- References -- Ascending Complexity Task GAN and 3D Dense Convolutional Networks for Binary Classification of Alzheimer's Disease -- 1 Introduction -- 2 Materials and Methods -- 3 Proposed Methodology -- 3.1 Overview -- 3.2 Ascending Complexity Task Mechanism-Generative Adversarial Networks (ACT-GAN) for Imputation of Images -- 4 Mathematical Expression for the Proposed Method -- 5 Experimental Results and Discussions -- 6 Conclusion and Future Scope -- References. Web Security Analysis of Banking Websites -- 1 Introduction -- 2 Problem Statement -- 3 Website Security Framework -- 4 CIA Triad -- 5 Website Threats and Vulnerabilities -- 6 Literature Survey -- 7 Proposed Methodology -- 7.1 Sucuri -- 7.2 UpGuard -- 8 Result -- 9 Conclusion and Future Work -- References -- A Study on Conventional and Adaptive Narrowband Beamformer for MIMO RADAR -- 1 Introduction -- 2 Classification of Radar -- 3 Beamforming -- 3.1 Type of Beamforming -- 4 Signal Model -- 5 Phase Shift Beamformer -- 6 Minimum Variance Distortionless Response (MVDR) -- 6.1 Advantage of MVDR Over PHASE SHIFT Beamformer -- 7 Linear Constraint Minimum Variance Beamforming Algorithm (LCMV) -- 7.1 Advantages of LCMV Over MVDR -- 8 Simulation and Results -- 8.1 Phase Shift Beamformer -- 8.2 Minimum Variance Distortionless Method (MVDR) -- 8.3 LCMV Beamformer -- 9 Conclusion -- References -- Automating Error Identification and Evaluating Web Accessibility for Differently Abled Users -- 1 Introduction -- 1.1 Web Content Accessibility Guidelines -- 2 Literature Review -- 3 Proposed Methodology -- 4 Result and Discussion -- 5 Conclusion and Future Works -- References -- IoT eHealth Big Data Analytics Based on Machine Learning -- 1 Introduction -- 2 Related Work and Background Study -- 3 The Proposed Model -- 3.1 Support Vector Machine (SVM) -- 3.2 K-Nearest Neighbors (KNN) -- 3.3 Random Forest Tree -- 4 Results and Discussions -- 5 Conclusion -- References -- Language Identification Using Multinomial Naive Bayes Technique -- 1 Introduction -- 2 Literature Review -- 2.1 Gap Analysis -- 3 Methodology -- 3.1 Workflow -- 3.2 Mechanism Implemented -- 4 Result -- 5 Conclusion -- References -- Novel Framework for Image Classification Based on Patch-Based CNN Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Image Processing. 3.2 Data Augmentation. |
| Record Nr. | UNINA-9910799250203321 |
|
Swaroop Abhishek
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of Data Analytics and Management : ICDAM 2023, Volume 4
| Proceedings of Data Analytics and Management : ICDAM 2023, Volume 4 |
| Autore | Swaroop Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (550 pages) |
| Disciplina | 005.7565 |
| Altri autori (Persone) |
PolkowskiZdzislaw
CorreiaSérgio Duarte VirdeeBal |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9965-53-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- ICDAM 2023 Steering Committee Members -- Preface -- Contents -- Editors and Contributors -- Deep Spectral Feature Representations Via Attention-Based Neural Network Architectures for Accented Malayalam Speech-A Low-Resourced Language -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Accented Model Construction -- 3.4 Conclusion -- References -- Improving Tree-Based Convolutional Neural Network Model for Image Classification -- 1 Introduction -- 1.1 Contribution of the Research Work -- 2 Literature Review -- 2.1 Previous Work -- 2.2 Contribution -- 3 Methodology -- 3.1 Overview -- 3.2 Dataset -- 3.3 1D Convolutions and Strides -- 3.4 Removal of Max Pooling -- 3.5 Leaky ReLU -- 3.6 Model Architecture -- 4 Results and Conclusion -- References -- Smartphone Malware Detection Based on Enhanced Correlation-Based Feature Selection on Permissions -- 1 Introduction -- 1.1 Motivation -- 1.2 Contributions -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Datasets -- 3.2 Feature Extraction -- 3.3 Feature-Feature Correlation with ENMRS -- 3.4 Feature-Class Correlation Measure: crRelevance -- 3.5 Proposed Feature Selection Technique: ECFS -- 3.6 Machine Learning Techniques Used -- 4 Results and Discussion -- 4.1 n 1 equals 0.1n1=0.1 and n 1 equals 0.9n1=0.9 -- 4.2 n 1 equals 0.2n1=0.2 and n 2 equals 0.8n2=0.8 -- 4.3 n 1 equals 0.3n1=0.3 and n 2 equals 0.7n2=0.7 -- 4.4 n 1 equals 0.4n1=0.4 and n 2 equals 0.6n2=0.6 -- 4.5 n 1 equals 0.5n1=0.5 and n 2 equals 0.5n2=0.5 -- 4.6 n 1 equals 0.6n1=0.6 and n 2 equals 0.4n2=0.4 -- 4.7 n 1 equals 0.7n1=0.7 and n 2 equals 0.3n2=0.3 -- 4.8 n 1 equals 0.8n1=0.8 and n 2 equals 0.2n2=0.2 -- 4.9 n 1 equals 0.9n1=0.9 and n 2 equals 0.1n2=0.1 -- 5 Conclusion -- References -- Fake News Detection Using Ensemble Learning Models -- 1 Introduction -- 2 Related Works.
3 Proposed Methodology -- 3.1 Dataset Description and Data Preprocessing -- 3.2 Feature Extraction -- 3.3 Algorithms -- 3.4 Evaluation Metrics -- 3.5 Web Application -- 4 Results and Discussion -- 5 Conclusion -- References -- Ensemble Approach for Suggestion Mining Using Deep Recurrent Convolutional Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Architecture -- 4 Experiments -- 4.1 Dataset and Pre-processing -- 4.2 Experimental Setup -- 5 Results and Discussion -- 6 Limitations -- 7 Conclusion -- References -- A CNN-Based Self-attentive Approach to Knowledge Tracing -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Architecture for the Proposed Model -- 4 Experimentations -- 4.1 Dataset -- 4.2 Evaluation Methodology -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- LIPFCM: Linear Interpolation-Based Possibilistic Fuzzy C-Means Clustering Imputation Method for Handling Incomplete Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Experimental Framework -- 4.1 Dataset Description -- 4.2 Missing Value Simulation -- 4.3 Evaluation Criteria -- 5 Experimental Results and Discussion -- 6 Conclusion and Future Work -- References -- Experimental Analysis of Two-Wheeler Headlight Illuminance Data from the Perspective of Traffic Safety -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Methodology -- 3.2 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Detecto: The Phishing Website Detection -- 1 Introduction -- 2 Literature Review -- 2.1 Methodologies for Phishing Website Detection -- 2.2 Dataset -- 2.3 Feature Extraction -- 2.4 Machine Learning Algorithm -- 3 Result -- 4 Limitation -- 5 Conclusion -- References -- Synergizing Voice Cloning and ChatGPT for Multimodal Conversational Interfaces -- 1 Introduction. 2 Related Works -- 3 The Proposed System -- 3.1 Voice-Enabled ChatGPT -- 3.2 Voice Cloning Model -- 4 Methodology -- 4.1 Voice-Enabled ChatGPT -- 5 Voice Cloning -- 6 Result and Discussion -- 7 Conclusion -- 8 Future Scope -- References -- A Combined PCA-CNN Method for Enhanced Machinery Fault Diagnosis Through Fused Spectrogram Analysis -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing -- 2.3 Fusion -- 2.4 CNN -- 3 Results and Discussion -- 4 Conclusion -- References -- FPGA-Based Design of Chaotic Systems with Quadratic Nonlinearities -- 1 Introduction -- 2 Design Methodology -- 2.1 Mathematical Representation -- 3 Results -- 3.1 Synthesis Results -- 3.2 Simulation Results -- 4 Conclusion -- References -- A Comprehensive Survey on Replay Strategies for Object Detection -- 1 Introduction -- 2 Object Detectors -- 3 Continual Learning and Catastrophic Forgetting -- 4 Replay Strategies for Object Detection -- 5 Conclusions -- References -- Investigation of Statistical and Machine Learning Models for COVID-19 Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Performance Metrics -- 4 Algorithms Used -- 4.1 Statistical Model -- 4.2 Machine Learning Algorithms -- 5 Result Analysis -- 6 Conclusion -- References -- SONAR-Based Sound Waves' Utilization for Rocks' and Mines' Detection Using Logistic Regression -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Implementation Analysis -- 5 Conclusion and Future Scope -- References -- A Sampling-Based Logistic Regression Model for Credit Card Fraud Estimation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Result Analysis and Discussion -- 5 Conclusion and Future Scope -- References -- iFlow: Powering Lightweight Cross-Platform Data Pipelines -- 1 Introduction. 2 Literature Review -- 3 Proposed Methodology -- 4 Result Analysis and Discussion -- 5 Conclusion and Future Work -- References -- Developing a Deep Learning Model to Classify Cancerous and Non-cancerous Lung Nodules -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset -- 3.2 Model Architecture -- 4 Results and Discussion -- 5 Conclusion -- References -- Concrete Crack Detection Using Thermograms and Neural Network -- 1 Introduction -- 1.1 Related Work -- 2 Experiment Design -- 2.1 Simulation Dataset Creation -- 2.2 Camera and Concrete Blocks Specifications -- 2.3 Compression-Exposed Concrete Data Collection -- 2.4 Simulation Dataset Model -- 2.5 Laboratory Dataset Model -- 3 Results and Analysis -- 3.1 Simulation Dataset Model Results -- 3.2 Laboratory Dataset Model Results -- 3.3 The Challenges of Using Thermal Images -- 4 Conclusion -- References -- Wind Power Prediction in Mediterranean Coastal Cities Using Multi-layer Perceptron Neural Network -- 1 Introduction -- 2 Material and Method -- 2.1 Study Area and Dataset -- 2.2 MLPNN Model -- 2.3 Statistical Indices (SI) -- 3 Results and Discussions -- 4 Conclusions -- References -- Next Generation Intelligent IoT Use Case in Smart Manufacturing -- 1 Introduction -- 2 Literature Review -- 2.1 Research Objectives of This Study -- 2.2 Research Methodology -- 3 Next Generation Technology Development -- 4 Defining '4*S Model' -- 4.1 Conceptualization of '4*S Model' -- 5 Challenges in Smart Manufacturing -- 6 Advantages in Smart Manufacturing -- 6.1 Direct Cost Savings -- 6.2 Indirect Cost Savings -- 7 Limitations of This Study -- 8 Conclusion -- References -- Forecasting Financial Success App: Unveiling the Potential of Random Forest in Machine Learning-Based Investment Prediction -- 1 Introduction -- 2 Literature Review -- 3 Concept -- 3.1 Financial Investment -- 3.2 Machine Learning. 4 Methodology -- 5 Results -- 6 Discussions -- 7 Limitations -- 8 Conclusion and Future Scope -- References -- Integration of Blockchain-Enabled SBT and QR Code Technology for Secure Verification of Digital Documents -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Performance Analysis -- 4.1 Time -- 4.2 Scalability -- 4.3 Authentication and Security -- 4.4 Automation -- 5 Conclusion and Future Scope -- References -- Time Series Forecasting of NSE Stocks Using Machine Learning Models (ARIMA, Facebook Prophet, and Stacked LSTM) -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description -- 4 Data Preparation -- 5 Assessment Metric -- 6 Models -- 6.1 ARIMA -- 6.2 Facebook Prophet -- 6.3 LSTM -- 7 Proposed Methodology -- 8 Observations and Results -- 9 Result Analysis -- 10 Limitations -- 11 Conclusion -- 12 Social Impact -- 13 Future Scope -- References -- Analysis of Monkey Pox (MPox) Detection Using UNETs and VGG16 Weights -- 1 Introduction -- 2 Previous Works -- 3 Methodology -- 3.1 VGG16 -- 3.2 CNN -- 3.3 Custom CNN -- 3.4 UNET -- 4 Implementation Analysis -- 4.1 Data Preprocessing -- 4.2 Extracting Features -- 4.3 Measures of Performance -- 5 Discussion -- 6 Conclusion -- 7 Future Enhancement -- References -- Role of Robotic Process Automation in Enhancing Customer Satisfaction in E-commerce Through E-mail Automation -- 1 Introduction -- 2 Review of Literature -- 3 The E-learning Environment -- 4 Need for Robotic Process Automation -- 5 RPA Implementation -- 5.1 Payment Management -- 5.2 Moodle Account Creation -- 5.3 E-mail Automation -- 6 Discussions -- 7 Conclusion -- References -- Gene Family Classification Using Machine Learning: A Comparative Analysis -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Machine Learning in Bioinformatics -- 1.3 Motivation -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Architecture. 3.2 Implementation of Machine Learning Algorithms. |
| Record Nr. | UNINA-9910799251203321 |
|
Swaroop Abhishek
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
