Tabla de Contenidos: “…10.3 Issues, Challenges and Problem Statement -- 10.3.1 Time and Memory Constraints -- 10.3.2 Class Imbalance -- 10.3.3 Concept Drift -- 10.4 Cybersecurity and IoT -- 10.5 Conclusion -- Chapter 11 A Study on Image Detection and Extraction to Estimate Distracted Drivers Using CNN and IoT -- 11.1 Introduction -- 11.2 Motivations -- 11.3 Literature Survey or Related Work -- 11.4 Existing System -- 11.5 Methodology and Objectives -- 11.5.1 Device Initialisation Module -- 11.5.2 Drowsiness Detection Module -- 11.5.3 Alert Module -- 11.6 Proposed System -- 11.7 Face Detection Using OpenCV -- 11.8 Search Strategy -- 11.9 Conclusion -- 11.10 Future Enhancement -- Chapter 12 Social Engineering: Cyberattacks, Countermeasures, and Conclusions -- 12.1 Introduction -- 12.2 Case Study on Social Engg Attack-IBMReport [25] -- 12.2.1 The Cost of Average Social Engineering-Related Breach -- 12.3 Methodology and Detection -- 12.3.1 Social Engineering Toolkit for SMS Spoofing -- 12.3.2 SMS Spam Message Detection with Term Frequency-Inverse Document Frequency (TF-IDF) and Random Forest Algorithm -- 12.4 Results -- 12.5 Conclusion -- 12.6 Acknowledgment -- Index…”

Tabla de Contenidos: “…Approval of the design matrix -- Implementing a k-means clustering solution -- The vision -- The data -- The strategy -- The k-means clustering program -- The mathematical definition of k-means clustering -- The Python program -- Saving and loading the model -- Analyzing the results -- Bot virtual clusters as a solution -- The limits of the implementation of the k-means clustering algorithm -- Summary -- Questions -- Further reading -- Chapter 5: How to Use Decision Trees to Enhance K-Means Clustering -- Unsupervised learning with KMC with large datasets -- Identifying the difficulty of the problem -- NP-hard - the meaning of P -- NP-hard - the meaning of non-deterministic -- Implementing random sampling with mini-batches -- Using the LLN -- The CLT -- Using a Monte Carlo estimator -- Trying to train the full training dataset -- Training a random sample of the training dataset -- Shuffling as another way to perform random sampling -- Chaining supervised learning to verify unsupervised learning -- Preprocessing raw data -- A pipeline of scripts and ML algorithms -- Step 1 - training and exporting data from an unsupervised ML algorithm -- Step 2 - training a decision tree -- Step 3 - a continuous cycle of KMC chained to a decision tree -- Random forests as an alternative to decision trees -- Summary -- Questions -- Further reading -- Chapter 6: Innovating AI with Google Translate -- Understanding innovation and disruption in AI -- Is AI disruptive? …”

Tabla de Contenidos: “…Data Governance and Digital Trade in India: Losing Sight of the Forest for the Trees? -- I. Introduction -- II. Data Governance in India: Multiple Narratives, Multiple Frameworks -- A. …”

Tabla de Contenidos:

Tabla de Contenidos: “…3.2.4 Rehabilitation Robot for Gait Training -- 3.3 Solutions and Methods for the Rehabilitation Process -- 3.3.1 Gait Analysis -- 3.3.2 Methods Based on Deep Learning -- 3.3.3 Use of Convolutional Neural Networks -- 3.4 Proposed System -- 3.4.1 Detection of Motion and Rehabilitation Mechanism -- 3.4.2 Data Collection Using Wearable Sensors -- 3.4.3 Raspberry Pi -- 3.4.4 Pre-Processing of the Data -- 3.5 Analysis of the Data -- 3.5.1 Feature Extraction -- 3.5.2 Machine Learning Approach -- 3.5.3 Remote Rehabilitation Mode -- 3.6 Results and Discussion -- 3.7 Conclusion -- References -- 4 Smart Sensors for Activity Recognition -- 4.1 Introduction -- 4.2 Wearable Biosensors for Activity Recognition -- 4.3 Smartphones for Activity Recognition -- 4.3.1 Early Analysis Activity Recognition -- 4.3.2 Similar Approaches Activity Recognition -- 4.3.3 Multi-Sensor Approaches Activity Recognition -- 4.3.4 Fitness Systems in Activity Recognition -- 4.3.5 Human-Computer Interaction Processes in Activity Recognition -- 4.3.6 Healthcare Monitoring in Activity Recognition -- 4.4 Machine Learning Techniques -- 4.4.1 Decision Trees Algorithms for Activity Reorganization -- 4.4.2 Adaptive Boost Algorithms for Activity Reorganization -- 4.4.3 Random Forest Algorithms for Activity Reorganization -- 4.4.4 Support Vector Machine (SVM) Algorithms for Activity Reorganization -- 4.5 Other Applications -- 4.6 Limitations -- 4.6.1 Policy Implications and Recommendations -- 4.7 Discussion -- 4.8 Conclusion -- References -- 5 Use of Assistive Techniques for the Visually Impaired People -- 5.1 Introduction -- 5.2 Rehabilitation Procedure -- 5.3 Development of Applications for Visually Impaired -- 5.4 Academic Research and Development for Assisting Visually Impaired -- 5.5 Conclusion -- References -- 6 IoT-Assisted Smart Device for Blind People -- 6.1 Introduction…”

“…In modern agriculture, over-cultivation, deforestation, overgrazing, and high dependence on an irrigated cropping system with water-intensive crops increase soil and water erosion. …”

“…It highlights the threats faced by the country's flora and fauna, including deforestation, illegal wildlife trade, and environmental pollution. …”

“…Spatiotemporal dynamics, socioeconomic implication, water supply problems and deforestation land degradation (e.g., increase of imperviousness surfaces) produced by urban expansion and their resource requirements are of particular interest. …”

“…Aujourd'hui menacées par la déforestation industrielle, les forêts d'Afrique centrale hébergent pourtant depuis des millénaires des populations d'essarteurs pratiquant l'agriculture itinérante sur brûlis. …”

“…Rapid economic growth in the world's most populous nation is leading to widespread soil erosion, desertification, deforestation and the depletion of vital natural resources. …”

“…Embedded in these portrayals is the common belief that the environment, in most places, has been deforested and desertified by centuries of misuse. It is precisely such orientalist environmental imaginaries, increasingly undermined by contemporary ecological data, that the eleven authors in this volume question. …”

Tabla de Contenidos: “…12.3.1 Occupation taxes -- 12.3.2 Transfer and wealth taxes -- 12.3.3 Betterment taxation -- 12.4 Land and property taxation in England and Wales -- 12.4.1 Occupation taxes -- 12.4.2 Transfer and wealth taxes -- 12.4.3 Betterment taxation in England -- Notes -- References -- Chapter 13 Valuations for Expropriation -- 13.1 Introduction -- 13.2 Valuation for expropriation -- 13.2.1 Valuing property rights that are to be taken or extinguished -- 13.2.2 Valuing retained property rights -- 13.2.3 Valuing compensation for disturbance -- 13.2.4 Valuing customary and informal land for expropriation purposes -- 13.2.5 Expropriation and non-market value -- 13.3 Valuations for compulsory purchase and planning compensation in England -- 13.3.1 Legal background -- 13.3.2 Compensation for land2 taken (compulsorily acquired) -- 13.3.3 Identifying the planning position -- 13.3.4 Compensation for severance and injurious affection -- 13.3.5 Compensation for disturbance and other losses -- 13.4 Planning compensation in England -- 13.4.1 Revocation, modification and discontinuance orders -- 13.4.2 Purchase notices -- 13.4.3 Blight compensation -- Notes -- References -- Chapter 14 Valuation Variance, Risk and Optionality -- 14.1 Introduction -- 14.2 Valuation accuracy and valuation variance -- 14.3 Analysing risk -- 14.3.1 Sensitivity analysis -- 14.3.2 Scenario modelling -- 14.3.3 Simulation -- 14.4 Flexibility and options -- 14.5 Uncertainty -- References -- Appendix: Land Uses and Valuation Methods -- A.1 Agriculture and fisheries -- A.2 Forests and woodland -- A.3 Natural resource extraction - water, minerals and other materials -- A.4 Recreation and leisure -- A.5 Utilities and infrastructure -- A.6 Residential -- A.7 Community services -- A.8 Land and buildings with (Re)development potential -- Notes -- References -- Glossary -- Index -- EULA…”

Tabla de Contenidos: “…MQTT-SN architecture and topology -- Transparent and aggregating gateways -- Gateway advertisement and discovery -- Differences between MQTT and MQTT-SN -- Constrained Application Protocol -- CoAP architecture details -- CoAP Messaging Formats -- CoAP usage example -- Other protocols -- STOMP -- AMQP -- Protocol summary and comparison -- Summary -- Chapter 10: Cloud and Fog Topologies -- Cloud services model -- NaaS -- SaaS -- PaaS -- IaaS -- Public, private, and hybrid cloud -- Private cloud -- Public cloud -- Hybrid cloud -- The OpenStack cloud architecture -- Keystone - identity and service management -- Glance - image service -- Nova compute -- Swift - Object Storage -- Neutron - Networking services -- Cinder - Block Storage -- Horizon -- Heat - orchestration (optional) -- Ceilometer - telemetry (optional) -- Constraints of cloud architectures for IoT -- Latency effect -- Fog computing -- The Hadoop philosophy for Fog computing -- Fog Computing versus Edge Computing versus cloud computing -- OpenFog Reference Architecture -- Application services -- Application support -- Node management and software backplane -- Hardware virtualization -- OpenFog node security -- Network -- Accelerators -- Compute -- Storage -- Hardware platform infrastructure -- Protocol abstraction -- Sensors, actuators, and control systems -- Amazon Greengrass and Lambda -- Fog Topologies -- Summary -- Chapter 11: Data Analytics and Machine Learning in the Cloud and in the Fog -- Basic data analytics in IoT -- Top-level cloud pipeline -- Rules engines -- Ingestion - streaming, processing, and data lakes -- Complex event processing -- Lambda architecture -- Sector use cases -- Machine learning in IoT -- Machine learning models -- Classification -- Regression -- Random forest -- Bayesian models -- Convolutional Neural Networks -- First layer and filters…”

Tabla de Contenidos: “…Chapter 12 Managing Windows User Accounts -- Understanding How Active Directory Is Organized -- Objects -- Domains -- Organizational units -- Trees -- Forests -- Understanding Windows User Accounts -- Local accounts versus domain accounts -- User account properties -- Creating a New User -- Setting User Properties -- Changing the user's contact information -- Setting account options -- Specifying logon hours -- Restricting access to certain computers -- Setting the user's profile information -- Resetting User Passwords -- Disabling and Enabling User Accounts -- Deleting a User -- Working with Groups -- Creating a group -- Adding a member to a group -- Creating a Logon Script -- Chapter 13 Managing Network Storage -- Understanding Disk Storage -- Hard disk drives -- Solid state drives to the rescue! …”