Note: Intro -- Contents -- 1 Energy Optimization Analysis on Internet of Things -- 1.1 Introduction -- 1.1.1 Concept -- 1.1.2 Motivation -- 1.1.3 Methodology -- 1.2 Internet of Things -- 1.3 Internet of Things in the Energy Sector -- 1.3.1 IoT and Energy Generation -- 1.3.2 Smart Cities -- 1.3.3 Smart Grids -- 1.3.4 Smart Buildings -- 1.3.5 Smart Industry Energy Use -- 1.3.6 Intelligent Transportation -- 1.4 Identified Challenges of Applying Internet of Things -- 1.4.1 Energy Consumption -- 1.5 Future Trends -- 1.5.1 Blockchain and IoT -- 1.5.2 Green Internet of Things -- 1.6 Conclusions -- References -- 2 UAV-Enabled WSN and Communication Framework for Data Security, Acquisition and Monitoring on Large Farms: A Panacea for Real-Time Precision Agriculture -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Data Aggregation Scheme for FWSN Gateway -- 2.3.1 Registration and Key Management -- 2.3.2 Data Aggregation -- 2.3.3 Data De-Aggregation -- 2.4 Farm Wireless Sensor Network System -- 2.4.1 Farm Wireless Sensor Network (FWSN) -- 2.4.2 Data Acquisition System -- 2.5 Performance Analysis -- 2.5.1 Quantity-Specific Geospatial Sensing -- 2.5.2 Evaluation of FWSN System -- 2.5.3 Latency of RF-Based Data Transmission -- 2.6 Conclusion -- References -- 3 Investigation of the Energy and Emission from the Combustion of Argain Cake in a CHP System -- 3.1 Introduction -- 3.2 General Framework -- 3.3 Materiel and Method -- 3.3.1 Materials, Sample Preparation Analysis and Measurement -- 3.3.2 Physic Chemical Properties Comparison (Rahib et al. 2019 -- Elorf et al. 2022) -- 3.3.3 Stirling Engine to Built CHP System -- 3.4 Result and Discussion -- 3.4.1 Comparison of the Electricity Generated as a Function of the Flow Rate Injection of Three Biomasses -- 3.4.2 Methodology and Math Modeling. , 3.4.3 Comparison of Temperature and CO2 Emissions of Argain Cake, Argain Nut and Olive Cake Using Ansys Fluent -- 3.5 Conclusion -- References -- 4 Identification, Simulation and Modeling of the Main Power Losses of a Photovoltaic Installation and Use of the Internet of Things to Minimize System Losses -- 4.1 Introduction -- 4.2 Photovoltaic Production -- 4.3 Materials and Methods -- 4.3.1 The Effect of Temperature on Photovoltaic Panels -- 4.3.2 Electrical Cables Requirements in a Photovoltaic Field -- 4.3.3 Introducing the Simulation Program -- 4.4 Results and Discussion -- 4.4.1 Simulation of the Effect of Temperature Increase on PV Cells -- 4.4.2 Simulation of the Series Resistance Effect -- 4.4.3 Simulation of the Shunt Resistance Effect -- 4.4.4 Simulation of all Losses in a Real Photovoltaic Installation -- 4.4.5 Intelligent Solar Panel Cooling System -- References -- 5 Mixed Thermal Boundary Condition Effects on Non-Darcian Model -- 5.1 Introduction -- 5.2 Mathematical Modeling -- 5.3 Basic Profile -- 5.3.1 Linear Stability Analysis -- 5.4 Numerical Solutions -- 5.5 Discussion and Results -- 5.6 Conclusion -- References -- 6 Behavior and Electrocatalytic Degradation of Textile Azo Dye Under Acidic Conditions -- 6.1 Introduction -- 6.2 Experimental -- 6.3 Results and Discussion -- 6.3.1 Influence of Violet 5R Dye Concentration -- 6.3.2 Influence of Potential Scan Rate -- 6.3.3 Electrolysis of Violet 5R Dye by Chronoamperometry -- 6.4 Conclusion -- References -- 7 Modeling and Simulation of Phytoremediation Technology by Artificial Neural Network -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Description of the Phytoremediation System -- 7.2.2 Data Collection -- 7.3 Results and Discussion -- 7.4 Conclusion -- References -- 8 Cryptocurrency Returns Clustering Using Japanese Candlesticks: Towards a Programmatic Trading System. , 8.1 Introduction -- 8.1.1 Cryptocurrency Trading -- 8.1.2 Clustering -- 8.1.3 Returns -- 8.2 Data and Methods -- 8.2.1 Data Retrieval -- 8.2.2 Data Preprocessing -- 8.2.3 Kmeans and Elbow Method -- 8.3 Results and Discussion -- 8.4 Conclusion and Perspectives -- References -- 9 Modelling and Simulating the Effect of Irradiation Variation on the Behavior of a Photovoltaic Cell and Its Influence on the Maximum Power Point -- 9.1 Introduction -- 9.2 Materials and Methods -- 9.2.1 Solar Radiation -- 9.2.2 Basic Properties of Semiconductors -- 9.2.3 Photovoltaic Cells -- 9.3 Results -- 9.3.1 Influence of Illuminance on the I(V) AND P(V) Characteristic -- 9.3.2 The Variation of the Maximum Power Point PMPP as a Function of the Irradiance -- 9.4 Conclusion -- References -- 10 Ecological Risks Related to the Influence of Different Environmental Parameters on the Microplastics Behavior -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.3 Results and Discussion -- 10.3.1 Microplastics in the Marine Environment -- 10.3.2 Toxicological Impact Resulting from the Behavior of Microplastics with Different Environmental Factors -- 10.4 Treatment -- 10.5 Conclusion -- References -- 11 An Effective Ensemble Learning Model to Predict Smart Grid Stability Using Genetic Algorithms -- 11.1 Introduction -- 11.2 Data Source -- 11.3 Methodology -- 11.3.1 XGBoost with Genetic Algorithm -- 11.3.2 Artificial Neural Network -- 11.3.3 LightGBM -- 11.3.4 Random Forest -- 11.4 Results and Discussions -- 11.5 Conclusion -- References -- 12 Optimization of Performance the Waste in Treatment of Textile Wastewater Using Response Surface Methodology -- 12.1 Introduction -- 12.2 Materials and Techniques -- 12.2.1 Materials -- 12.2.2 Methods -- 12.2.3 Test -- 12.3 Results and Argumentation -- 12.3.1 Results -- 12.3.2 Process Analysis -- 12.3.3 Process Optimization -- 12.4 Conclusion. , References -- 13 An Overview of the Security Challenges in IoT Environment -- 13.1 Introduction -- 13.2 Some Application of IoT -- 13.3 IoT Security Challenges and Issues -- 13.3.1 IoT Security Challenges -- 13.3.2 Main Attacks in the IoT Environment -- 13.3.3 Security Services Required for the IoT -- 13.4 Solutions -- 13.4.1 Authentication Protocols -- 13.4.2 Intrusion Detection Systems -- 13.4.3 Machine Learning -- 13.5 Conclusion -- References -- 14 Modeling of the Coagulation System for Treatment of Real Water Rejects -- 14.1 Introduction -- 14.2 Materials and Methods -- 14.2.1 Coagulation Process -- 14.2.2 Artificial Neural Networks (ANNs) -- 14.3 Results and Discussions -- 14.3.1 Analysis of the Results -- 14.3.2 RNA Models -- 14.3.3 Model Validation -- 14.4 Conclusion -- References -- 15 Effects of Heat Stress and Chemical Pollutants on Sheep Reproduction and Strategies to Mitigate Them -- 15.1 Introduction -- 15.2 Climate Change and Chemical Pollutants as Major Environmental Challenges -- 15.3 Impact of Heat Stress on  Sheep Reproductive Performances -- 15.3.1 Thermoregulation -- 15.3.2 Semen Quality and Spermatogenesis -- 15.3.3 Male and Female Behaviors -- 15.3.4 Heat Stress Effects During Mating on Ewe Fertility -- 15.3.5 Pregnancy -- 15.3.6 Mitigation Strategies for Heat Stress -- 15.4 Impact of Chemical Pollutants on  Sheep Reproductive Performances -- 15.4.1 Endocrine Disruptor Chemicals -- 15.4.2 Effects of Heavy Metals and Fluoride on Sheep Reproductive Parameters -- 15.4.3 Mitigation Strategies for Chemical Pollutants -- 15.5 Conclusion -- References -- 16 Dynamics of Tree Cover on the Adaptive Genetic Variation and Evolutionary Power of the Argan Forests from the Essaouira Region of Morocco Facing Climate Change -- 16.1 Introduction -- 16.2 Material and Methods -- 16.2.1 Study Area -- 16.2.2 Genetic Analysis Af Argan Trees. , 16.2.3 Data Sources -- 16.3 Results -- 16.3.1 Evolution of Tree Cover -- 16.3.2 Vegetation Indices -- 16.3.3 Genetic Indices -- 16.4 Discussion -- 16.5 Conclusion -- References -- 17 Deep-PDSC: A Deep Learning-Based Model for a Stage-Wise Classification of Parlatoria Date Scale Disease -- 17.1 Introduction -- 17.2 Related Works -- 17.3 Methods and Experiments -- 17.3.1 Dataset -- 17.3.2 Proposed Framework -- 17.3.3 Performed Tests -- 17.3.4 Evaluation Metrics -- 17.4 Results and Discussion -- 17.5 Conclusion and Perspectives -- References -- 18 Adsorption of Inorganic and Organic Pollutants in Urban Wastewater Treatment Using Pine Wood Activated Carbon -- 18.1 Introduction -- 18.2 Materials and Methods -- 18.2.1 Materials -- 18.2.2 Experimental Methods -- 18.3 Results and Discussions -- 18.3.1 Evaluation of the Organic Pollution of Wastewater (Biodegradability) -- 18.3.2 Parameters Effect -- 18.3.3 Adsorption Kinetics -- 18.4 Conclusion -- References -- 19 Control of COVID 19: Knowledge and Practices of Health Professionals in Hospitals Towards Patients and the Environment in Morocco (Meknes) -- 19.1 Introduction -- 19.2 Materials and Methods -- 19.2.1 Study Area -- 19.2.2 Study Participants and Sampling -- 19.2.3 Data Collection and Analysis -- 19.2.4 Ethical Considerations -- 19.3 Results -- 19.3.1 Socio-Professional Characteristics of Participants -- 19.3.2 Healthcare Professional History of Covid Infection -- 19.3.3 Preventive Practices of Healthcare Professionals Towards Patients -- 19.3.4 Preventive Practices of Healthcare Professionals Towards the Environment -- 19.4 Discussions -- 19.5 Conclusion -- References -- 20 The Evaluation of the Valorization of Cannabis Residues for the Production of Energy by Combustion -- 20.1 Introduction -- 20.2 Material and Method -- 20.2.1 Thermal Drying -- 20.2.2 Measurement and Sampling. , 20.2.3 Data Collection.