Titlebook: IoT Sensors, ML, AI and XAI: Empowering A Smarter World; Biswajeet Pradhan,Subhas Mukhopadhyay Book 2024 The Editor(s) (if applicable) and

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有效

Living-Will

Rashmi Singh,Damodar Prasad Tiwari,Ankur Taneja,Rajnish Choubey,Tanuj Kumar Yadav,Mohd. Suleman Sidd

jagged

Myofibrils

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GIST

Identification of IoT Devices Through Machine Learning and Hardware Fingerprints Based on Clock-Sked classification and unsupervised anomaly detection algorithms were evaluated. Anomaly detection algorithms were trained individually for each device, and their performance was assessed separately. Tree-based models, specifically Decision Trees (95.92% Accuracy) and Random Forest (99.22% Accuracy),

不利

,Development?of IoT Soil Sensor Node: Installation and Modeling,nvironmental sensor and a tipping rain sensor. Weather forecasting and irrigation scheduling are two long-term applications that can benefit greatly from the initial data from the field sensors. Such a system with collaboration with industry can be seen as a cost-effective solution to expensive comm

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A Novel Determination of Chemical Oxygen Demand (COD) Using Thermal Sensor: A Key Initiative in Wasawareness of environmental protection refers to the desideratum for an onsite, environmentally friendly, and rapid analytical method. The proposed work utilizes the principle of change in degree of enthalpy i.e., heat generated during the oxidation of organic compounds, and the heat is proportional

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