Tabla de Contenidos: “…Improving the carbon footprint of the economy -- Figure 17. Greenhouse gas emissions by sector of origin -- Figure 18. …”

Tabla de Contenidos: “…. -- 2D pose estimate -- 2D nav goal -- Static map -- Particle cloud -- Robot's footprint -- Local costmap -- Global costmap -- Global plan -- Local plan -- Planner plan -- Current goal -- There's more... -- Robot localization - Adaptive Monte Carlo Localization (AMCL) -- Getting ready -- How it works... -- Configuring navigation stack parameters with rqt_reconfigure -- How it works...…”

Tabla de Contenidos: “…Understanding churn modeling using XAI techniques -- Building a model -- Using ELI5 to understand classifier models -- Hands-on with LIME -- SHAP in action -- CausalNex -- DoWhy for causal inference -- DoWhy in action -- AI Explainability 360 for interpreting models -- Summary -- References -- Chapter 10: Ethics and Model Governance -- Technical requirements -- Model Risk Management (MRM) -- Types of model inventory management -- Cost savings with MRM -- A transformative journey with MRM -- Model risk tiering -- Model risk calibration -- Model version control -- ModelDB -- Weights &amp -- Biases -- Further reading -- Part 4: Implementing an Organization Strategy, Best Practices, and Use Cases -- Chapter 11: The Ethics of Model Adaptability -- Technical requirements -- Adaptability framework for data and model drift -- Statistical methods -- Statistical process control -- Understanding model explainability during concept drift/calibration -- Explainability and calibration -- Challenges with calibration and fairness -- Summary -- Further reading -- Chapter 12: Building Sustainable Enterprise-Grade AI Platforms -- Technical requirements -- The key to sustainable enterprise-grade AI platforms -- Sustainable solutions with AI as an organizational roadmap -- Organizational standards for sustainable frameworks -- Sustainability practices and metrics across different cloud platforms -- Emission metrics on Google Cloud -- Best practices and strategies for carbon-free energy -- The energy efficiency of data centers -- Carbon emission trackers -- The FL carbon calculator -- Centralized learning carbon emissions calculator -- Adopting sustainable model training and deployment with FL -- CO2e emission metrics -- Comparing emission factors - centralized learning versus FL -- Illustrating how FL works better than centralized learning -- The CO2 footprint of FL…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Getting Started with Azure VMware Solution (AVS) -- Chapter 1: Introduction to Azure VMware Solution -- Network connectivity to AVS -- AVS hosts, clusters, and private clouds -- AVS high-level architecture -- Use cases for AVS in an enterprise -- Data center footprint deduction, consolidation, and retirement -- Data center expansion based on demand -- Disaster recovery and business continuity -- Speed and simplification of migration/hybrid cloud -- AVS is very cost-effective -- Enterprise-scale for AVS -- Prerequisites for the implementation of the enterprise-scale landing zone for AVS -- Network and connectivity topologies -- Identity and access management -- Business continuity and disaster recovery -- Design considerations for AVS BC -- Design considerations for AVS DR -- Security, governance, and compliance -- Security -- Governance -- Compliance -- Management and monitoring -- Summary -- Chapter 2: Enterprise-Scale for AVS -- Network and connectivity topology for AVS -- Understanding networking requirements for AVS -- Networking scenarios for AVS with traffic inspection -- Identity and access management for AVS -- vCenter privileges -- Business continuity and disaster recovery -- Design considerations for business continuity in AVS -- The recommended design considerations for business continuity in AVS -- Design considerations for AVS disaster recovery -- Summary -- Part 2: Planning and Deploying AVS -- Chapter 3: Planning for an Azure VMware Solution Deployment -- Subscription identification -- Resource group identification -- Azure region -- Region pairs in Azure -- AVS resource name -- Host size -- Determining the number of hosts and clusters -- Host quota request for AVS -- Requesting a /22 CIDR IP segment for AVS management components…”

Tabla de Contenidos: “…Scoping and Planning Engagements -- Assessment Types -- Known Environments and Unknown Environments -- The Rules of Engagement -- Scoping Considerations-A Deeper Dive -- Support Resources for Penetration Tests -- Penetration Testing Standards and Methodologies -- Key Legal Concepts for Penetration Tests -- Contracts -- Data Ownership and Retention -- Permission to Attack (Authorization) -- Environmental Differences and Location Restrictions -- Regulatory Compliance Considerations -- Summary -- Exam Essentials -- Lab Exercises -- Review Questions -- Chapter 3 Information Gathering -- Footprinting and Enumeration -- OSINT -- Location and Organizational Data -- Infrastructure and Networks -- Security Search Engines -- Google Dorks and Search Engine Techniques -- Password Dumps and Other Breach Data -- Source Code Repositories -- Passive Enumeration and Cloud Services -- Active Reconnaissance and Enumeration -- Hosts -- Services -- Networks, Topologies, and Network Traffic -- Packet Crafting and Inspection -- Enumeration -- Information Gathering and Code -- Avoiding Detection -- Information Gathering and Defenses -- Defenses Against Active Reconnaissance -- Preventing Passive Information Gathering -- Summary -- Exam Essentials -- Lab Exercises -- Activity 3.1: Manual OSINT Gathering -- Activity 3.2: Exploring Shodan -- Activity 3.3: Running an Nmap Scan -- Review Questions -- Chapter 4 Vulnerability Scanning -- Identifying Vulnerability Management Requirements -- Regulatory Environment -- Corporate Policy -- Support for Penetration Testing -- Identifying Scan Targets -- Determining Scan Frequency -- Active vs. …”

Tabla de Contenidos: “…Intro -- Foreword -- Reader's guide -- Basic statistics of Finland -- Executive summary -- Finland should turn its ambitious strategies into effective and coherent action -- GHG emissions fell, but uncertainties remain on the path to carbon neutrality -- A flexible and zero-carbon electricity sector is key to decarbonise the economy -- There is scope to reduce the carbon footprint of buildings and neighbourhoods -- Policies to reverse car dependency should be at the core of climate action -- Finland needs to consolidate the good outcomes of air and water management -- Swift action is required to make Finland a circular economy leader -- Finland should do more to halt biodiversity loss -- Environmental governance is based on transparency and collaboration with private operators, but a few regulatory gaps remain -- The recovery plan is geared towards a carbon-neutral and circular economy -- Finland's businesses are innovative and active in green markets -- Green taxation can help Finland achieve its ambitious environmental goals -- Assessment and recommendations -- 1. …”

Tabla de Contenidos: “…Monitoring VM and Linux -- 8.1 Oracle measurements -- 8.2 Configuration guidelines -- 8.2.1 Minimize Total Storage Footprint® -- 8.2.2 SGA must fit in memory -- 8.2.3 Use Oracle direct I/O -- 8.2.4 Use virtual disk for swap -- 8.2.5 Enable the timer patch -- 8.2.6 Use virtual switch -- 8.2.7 Use expanded storage for paging -- 8.2.8 Ensure sufficient page space -- 8.3 Storage analysis -- 8.3.1 Detecting storage problems - Paging -- 8.3.2 Detecting 2 GB storage problems - Paging -- 8.3.3 Detecting 2 GB problems - Demand scan -- 8.3.4 Detecting 2 GB problems - State analysis -- 8.4 I/O subsystem -- 8.4.1 LVM -- 8.5 Processor analysis -- 8.6 LPAR weights and options -- 8.6.1 Physical LPAR overhead -- 8.6.2 Converting weights to logical processor speed -- 8.6.3 LPAR analysis example -- 8.6.4 LPAR options -- 8.6.5 Shared versus dedicated processors…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedications -- Contributors -- Table of Contents -- Part 1: Migrating to the Cloud -- Chapter 1: Introduction to Cloud Transformation -- Introduction to the cloud -- The origins of cloud computing -- Key characteristics of cloud computing -- On-demand self-service -- Wide range of network access -- Multi-tenant model and resource pooling -- Rapid elasticity -- PAYG model -- Measured service and reporting -- Understanding the motivators for cloud adoption -- Resilience -- Advanced security -- Carbon footprint reduction -- Improved optimization and efficiency -- Faster innovation and business agility -- Understanding CSPs -- Amazon Web Services (AWS) -- Microsoft Azure -- Google Cloud Platform -- Alibaba Cloud -- Exploring the service models - SaaS, PaaS, and IaaS -- Infrastructure as a Service (IaaS) -- Platform as a Service (PaaS) -- Software as a service (SaaS) -- Exploring the deployment models - public, private, hybrid, multi, and community -- The public cloud -- The private cloud -- The hybrid cloud -- Multi-cloud -- The community cloud -- Comparison between the different cloud deployment models -- Summary -- Further reading -- Chapter 2: Understanding Cloud Migration -- Cloud migration - key concepts and fundamentals -- What is cloud migration? …”

Tabla de Contenidos: “…Overview of the Slovak governance framework for FDI-SME diffusion -- Multiple ministries and government agencies are involved in implementing policies that act upon FDI-SME diffusion channels and enabling conditions -- The regional footprint of government agencies has been strengthened but policy coherence between national and subnational levels could be further improved -- Subnational governments have been given substantial responsibilities, but often lack the capacity and own resources to support local FDI-SME ecosystems -- 4.3. …”

“…Defining and reducing the carbon footprint of a new or refurbished building can be a daunting task. …”

Tabla de Contenidos: “…Identifying Live Hosts -- Ping -- ARP -- Nmap -- Port Scanning and Services Enumeration -- TCP Port SYN Scan -- UDP -- Basics of Using Nmap Scans -- Services Enumeration -- Operating System Fingerprinting -- Nmap Scripting Engine -- NSE Category Scan -- NSE Arguments -- DNS Enumeration -- DNS Brute-Force -- DNS Zone Transfer -- DNS Subdomains Tools -- Fierce -- Summary -- Chapter 4 Internet Information Gathering -- Passive Footprinting and Reconnaissance -- Internet Search Engines -- Shodan -- Google Queries -- Information Gathering Using Kali Linux -- Whois Database -- TheHarvester -- DMitry -- Maltego -- Summary -- Chapter 5 Social Engineering Attacks -- Spear Phishing Attacks -- Sending an E-mail -- The Social Engineer Toolkit -- Sending an E-mail Using Python -- Stealing Credentials -- Payloads and Listeners -- Bind Shell vs. …”

Tabla de Contenidos: “…Grillo ; Chapter 47 : Megaliths in Madagascar Mike Parker Pearson ; Chapter 48 : Megaliths of Nigeria: the footprints of ancient civilization Abu Solomon Edet, Abubakar Sule Sani ; Chapter 49 : Megaliths from Senegal and The Gambia in their regional context Luc Laporte, Hamady Bocoum, Adrien Delvoye, Jean-Paul Cros, Selim Djouad, Matar Ndiaye, Aziz Ballouche, Pierre Lamotte, Mathilde Stern, Abdoulaye Ndiaye, Laurent Quesnel ; Earthern architectures and megalithism: the Soto monument (Senegal) Adrien Delvoye, Khady Thiaw, Marylise Onfray, Matar Ndiaye, Philippe Gouézin, Abdoulaye Ndiaye, Vivien Mathé, Tioro Ba, Christian Camerlynck, Sire Ndiaye, Adrien Camus, Philippe Boulinguiez, Leonor Rocha, Pierre Lamotte, Aziz Ballouche, Hamady Bocoum, Luc Laporte ; Chapter 50 : Types of monumentalism and burial rites of the central and eastern Sahara Alain Gallay (†) ; Chapter 51 : Neolithic monuments with standing stones in the northwestern Sahara Robert Vernet ; Chapter 52 : The megalithic necropolises of the eastern Maghreb Joan Sanmartí ; PART VIII: EUROPEAN MEGALITHS ; Introduction Chris Scarre ; Chapter 53 : Larger than life: monumentality of the landscape and non-human imagery at Lepenski (Serbia) Dušan Borić ; Chapter 54 : On the Atlantic shores. …”

Tabla de Contenidos: “…Environmental Sustainability -- Introduction and Objectives -- 2.1 Environmental Sustainability and its Context -- 2.2 Natural Earth Cycles -- Carbon cycle -- Nitrogen cycle -- Nitrogen and sulfur compounds -- 2.3 Greenhouse Gases -- Impact of greenhouse gas emissions -- 2.3.1 Carbon Tracking -- 2.4 Ecological Footprint -- 2.4.1 Climate Change -- Global warming and climate change -- Paleoclimatic data -- 2.4.2 Environmental Burden -- 2.4.3 Global Warming Potential -- 2.4.4 Acidification -- Atmospheric impact -- Atmospheric acidification -- Aquatic impact -- Aquatic acidification -- 2.4.5 Ozone Formation and Destruction -- Stratospheric ozone deple -- 2.4.6 Smog Formation -- Photochemical ozone formation -- 2.4.7 Human Health -- 2.4.8 Toxicity -- Impact to land -- 2.4.9 Eutrophication -- Aquatic oxygen demand -- Stoichiometric oxygen demand (StOD) -- 2.4.10 Habitat Destruction -- 2.4.11 Resource Depletion -- 2.4.12 Particulate Matter -- 2.5 Carbon Capture -- Carbon capture and utilization -- Global warming potential -- Solvent technology for carbon capture -- 2.6 Decarbonization -- 2.7 Carbon Utilization -- 2.8 Environmental Cost of Carbon Emissions -- 2.8.1 Environmental Impact Assessment -- Summary -- Nomenclature -- Problems -- Research Projects -- References -- 3. …”

Tabla de Contenidos: “…18.9 List of Available Site Locations 570 -- 19 Wireless Network Design 573 -- 19.1 Field Measurement Campaign 573 -- 19.2 Measurement Processing 575 -- 19.3 Propagation Models and Parameters 579 -- 19.4 Site Location 582 -- 19.5 Run Initial Site Predictions 586 -- 19.6 Static Traffic Simulation 593 -- 19.7 Adjust Design for Area and Traffic Coverage 595 -- 19.8 Configure Backhaul Links and Perform Backhaul Predictions 595 -- 19.9 Perform Signal Level Predictions with Extended Radius 597 -- 20 Wireless Network Optimization 599 -- 20.1 Cell Enhancement or Footprint Optimization 599 -- 20.2 Resource Optimization 603 -- 21 Wireless Network Performance Assessment 615 -- 21.1 Perform Dynamic Traffic Simulation 615 -- 21.2 Performance 620 -- 21.3 Perform Network Performance Predictions 625 -- 21.4 Backhaul Links Performance 655 -- 21.5 Analyze Performance Results, Analyze Impact on CAPEX, OPEX and ROI 661 -- 22 Basic Mathematical Concepts Used in Wireless Networks 663 -- 22.1 Circle Relationships 663 -- 22.2 Numbers and Vectors 665 -- 22.3 Functions Decomposition 668 -- 22.4 Sinusoids 670 -- 22.5 Fourier Analysis 674 -- 22.6 Statistical Probability Distributions 676 -- Appendix: List of Equations 689 -- Further Reading 697 -- Index 701.…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- The Builder's Guide Partners -- Table of Contents -- Forewords -- Building the Third Way -- Strengthening Europe's Position in Times of Digital Transformation -- Scale-ups as the Future of Our Economy -- Partnerships as a Driving Force for a Strong European Tech Ecosystem -- Boosting the Likelihood of More European Unicorns -- Forewords -- Preparing Europe for maturity -- Introduction -- North Star -- 1 Six Dimensions of Direction -- Purpose beyond profit -- Practice 1: A company that makes the planet a better place -- Company values -- Practice 2: Guiding principles for aligning the crew -- Business ambition -- Practice 3: Business outcomes to aspire to in the long run -- North Star metric -- Practice 4: The PRIMARY metric that matters NOW -- Value proposition -- Practice 5: Unmet customer needs that you solve uniquely well -- OKRs -- Practice 6: Making direction operational -- 2 Environmental, Social and Governance Criteria as Drivers of Business Success -- Environmental -- Practice 7: Measuring, reducing and offsetting your environmental footprint with clear responsibilities and targets -- Social -- Practice 8: Building a culture that embraces diversity and inclusion -- Governance -- Practice 9: Establishing internal governance that facilitates growth, compliance, and employee representation -- People &amp -- Mindset -- 3 People (HR) Excellence: Attracting, Developing and Retaining an A+++ Crew -- OKRs -- Practice 10: Establishing the right people OKRs -- Organizational chart and roles -- Practice 11: Defining the roles &amp -- responsibilities for a people function -- Practice 12: Scaling the right people roles at the right time -- Recruiting &amp -- candidate experience -- Practice 13: Building the candidate sourcing muscle…”

Tabla de Contenidos: “…-- Defense in Depth -- Target-Based Intrusion Detection and Network Layer Defragmentation -- Lightweight Footprint -- Inline Responses -- Signature Translation Examples -- Nmap command attempt Signature -- Bleeding Snort "Bancos Trojan" Signature -- PGPNet connection attempt Signature -- The fwsnort Interpretation of Snort Rules -- Translating the Snort Rule Header -- Snort Rule Header -- Rule Actions and iptables Emulation -- Snort Actions and Alerting -- Translating Snort Rule Options: iptables Packet Logging -- Snort Options and iptables Packet Filtering -- content -- uricontent -- offset -- depth -- distance -- within -- flags -- itype and icode -- ttl -- tos -- ipopts -- dsize -- ip_proto -- flow -- replace -- resp -- Unsupported Snort Rule Options -- Concluding Thoughts -- 10. …”

Tabla de Contenidos: “…5.4 Instruction optimization -- 5.4.1 Device intrinsics -- 5.4.1.1 Directed rounding -- 5.4.1.2 C intrinsics -- 5.4.1.3 Fast math intrinsics -- 5.4.1.4 Compiler options -- 5.4.2 Divergent warps -- 6 Porting tips and techniques -- 6.1 CUF kernels -- 6.2 Conditional inclusion of code -- 6.3 Renaming variables -- 6.3.1 Renaming via use statements -- 6.3.2 Renaming via the associate construct -- 6.4 Minimizing memory footprint for work arrays -- 6.5 Array compaction -- 7 Interfacing with CUDA C code and CUDA libraries -- 7.1 Calling user-written CUDA C code -- 7.1.1 The ignore"80"137tkr directive -- 7.2 cuBLAS -- 7.2.1 Legacy cuBLAS API -- 7.2.2 New cuBLAS API -- 7.2.3 Batched cuBLAS routines -- 7.2.4 GEMM with tensor cores -- 7.3 cuSPARSE -- 7.4 cuSOLVER -- 7.5 cuTENSOR -- 7.5.1 Low-level cuTENSOR interfaces -- 7.6 Thrust -- 8 Multi-GPU programming -- 8.1 CUDA multi-GPU features -- 8.1.1 Peer-to-peer communication -- 8.1.1.1 Requirements for peer-to-peer communication -- 8.1.2 Peer-to-peer direct transfers -- 8.1.3 Peer-to-peer transpose -- 8.2 Multi-GPU programming with MPI -- 8.2.1 Assigning devices to MPI ranks -- 8.2.2 MPI transpose -- 8.2.3 GPU-aware MPI transpose -- 2 Case studies -- 9 Monte Carlo method -- 9.1 CURAND -- 9.2 Computing π with CUF kernels -- 9.2.1 IEEE-754 precision -- 9.3 Computing π with reduction kernels -- 9.3.1 Reductions with SHFL instructions -- 9.3.2 Reductions with atomic locks -- 9.3.3 Reductions using the grid"80"137group cooperative group -- 9.4 Accuracy of summation -- 9.5 Option pricing -- 10 Finite difference method -- 10.1 Nine-point 1D finite difference stencil -- 10.1.1 Data reuse and shared memory -- 10.1.2 The x-derivative kernel -- 10.1.2.1 Performance of the x-derivative kernel -- 10.1.3 Derivatives in y and z -- 10.1.4 Nonuniform grids -- 10.2 2D Laplace equation…”

Tabla de Contenidos: “…-- 20.2 Reading a P&amp -- L statement -- 20.2.1 Revenue -- 20.2.2 Expenses -- 20.3 Averages -- 20.4 OpEx and CapEx -- 20.4.1 Understanding the two types of expenses -- 20.4.2 Driving business decisions -- 20.5 Business architecture -- 20.6 Further reading -- 20.7 Action items -- 21 Tools for the modern job hunt -- 21.1 Job hunt tasks to do now -- 21.2 Review your brand -- 21.2.1 Your professional brand and the job hunt -- 21.2.2 Reviewing your public footprint -- 21.2.3 How would others describe your brand? …”

Tabla de Contenidos: “…7.4 Simulation Principles -- 7.4.1 Model Development -- 7.5 Results and Analysis -- 7.6 Conclusions -- References -- 8 Residential Building Wall Systems: Energy Efficiency and Carbon Footprint -- 8.1 Introduction -- 8.1.1 Thermal Comfort -- 8.1.2 Thermal Insulation -- 8.1.3 Lag Time -- 8.1.4 R-Value -- 8.1.5 Thermal Masses -- 8.2 Design Patterns of Australian Houses -- 8.2.1 Timber Weatherboard House -- 8.2.2 Fibro Cement Weatherboard House -- 8.2.3 Double Brick Veneer House -- 8.2.4 Single Brick Veneer House (Conventional House) -- 8.3 House Wall Systems -- 8.3.1 House Wall Configuration -- 8.3.2 Conventional House Wall -- 8.4 Energy Star Rating and Thermal Performance Modeling Tools -- 8.5 Results -- 8.5.1 Conventional House Wall (Benchmark) -- 8.5.2 New House Wall -- 8.5.3 Inner and Outer Insulation Positions -- 8.6 Discussion -- 8.6.1 Industrial Implications -- 8.7 Concluding Remarks -- References -- 9 Cement Kiln Process Modeling to Achieve Energy Efficiency by Utilizing Agricultural Biomass as Alternative Fuels -- 9.1 Introduction -- 9.2 Cement Manufacturing Process -- 9.2.1 Kiln -- 9.3 Alternative Fuels -- 9.4 Agricultural Biomass -- 9.4.1 Agricultural Biomasses in Australia -- 9.4.2 Selection of Agricultural Biomass -- 9.4.3 Chemical Composition of Alternative Fuels -- 9.5 Model Development and Validation -- 9.5.1 Model Principle -- 9.5.2 Model Assumption -- 9.5.3 Model Validation -- 9.5.4 Modified Kiln Model -- 9.6 Simulation Results and Discussion -- 9.7 Conclusion -- References -- 10 Modeling and Simulation of Heat and Mass Flow by ASPEN HYSYS for Petroleum Refining Process in Field Application -- 10.1 Introduction -- 10.2 Heating Furnace -- 10.2.1 Burner -- 10.2.2 Furnace Tube/Coil System -- 10.2.3 Furnace Wall System -- 10.2.4 Flue Gas Venting System -- 10.2.5 Blower, Fire Watch Door, Explosion-Proof Door -- 10.2.6 Control System…”

Tabla de Contenidos: “…10.5.2 Case Studies of Fruit Leaf Classification in Industry Using Transfer Learning -- 10.6 Conclusion -- 10.7 Future Work -- References -- Chapter 11 Green AI: Carbon-Footprint Decoupling System -- 11.1 Introduction -- 11.2 CO2 Emissions in Sectors -- 11.3 Heating and Cooking Emissions -- 11.4 Automobile Systems Emission -- 11.5 Power Systems Emission -- 11.5.1 Map -- 11.6 Total CO2 Emission -- 11.6.1 Relationship Between Tables -- 11.6.2 Group by Clause -- 11.6.3 Offshore Wind Storage Integration Method -- 11.6.4 Offshore Floating Wind and Power Generation Technology (OFWPP) -- 11.6.5 Wind Power Plant for Storage Mixing -- 11.6.6 The Effect on the Environment when Using Battery Storage -- 11.7 Green AI With a Control Strategy of Carbon Emission -- 11.8 Green Software -- 11.9 Conclusion -- 11.10 Future Scope and Limitation -- References -- Chapter 12 Review of State-of-Art Techniques for Political Polarization from Social Media Network -- 12.1 Introduction -- 12.1.1 Social Media -- 12.2 Political Polarization -- 12.2.1 Identification of the Parties -- 12.2.2 Definition of Political Ideology -- 12.2.3 Voting Conduct (Definition) -- 12.2.4 Definition of Policy Positions -- 12.2.5 Definition of Affective Polarization -- 12.2.6 Identifiability of Parties (Definition) -- 12.2.7 Definition of Political Ideology -- 12.2.8 Definition of Voting Behavior -- 12.2.9 Policy Positions (Definition) -- 12.2.10 Party Sorting -- 12.2.11 Affective Polarization (Definition) -- 12.3 State-of-the-Art Techniques -- 12.3.1 Word Embedding (WE) -- 12.3.2 Customary Models -- 12.3.3 Models of Deep Neural Networks (DNN) -- 12.3.4 Single and Hybrid ML Techniques -- 12.3.4.1 Single Methods -- 12.3.4.2 Hybrid Approaches -- 12.3.5 Multitask Learning (V) -- 12.3.5.1 Learning-Related Problem -- 12.3.5.2 Multi-Task Learning MTL -- 12.3.5.3 Architectures for Multiple Tasks…”