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A QUALITATIVE REVIEW OF ARTIFICIAL INTELLIGENCE BASED MPPT TECHNIQUES
Artificial Intelligence (AI) Is Becoming Increasingly Popular In Many Areas, Including The Field Of Maximum Power Point Tracking (MPPT), Where It Is Used To Optimize The Power Output From A Photovoltaic (PV) System. There Are Several Method...
MPPT USING FUZZY LOGIC CONTROL STRATEGY FOR A WIND ENERGY CONVERSION SYSTEM
An Innovative Fuzzy Logic Control Strategy To Get The Most Power Out Of A Wind Energy Conversion System (WECS) Based On A Permanent Magnet Synchronous Generator (PMSG) Is Provided In This Research. A Wind Turbine, A PMSG, And A DC/DC Conver...
A NEURO FUZZY INFERENCE SYSTEMS BASED METHOD FOR DEMAND FORECASTING FOR SUPPLY CHAINS
Off Late, The Demand For Pharmaceutical Products And Drugs Has Ramped Up Significantly Due To The Ongoing COVID-19 Scenario. Several Instances Have Been Reported Where Large Scarcity Of Drugs Have Led To Fatalities In Patients. Hence, The N...
KIDNEY STONE DETECTION USING DEEP LEARNING
Kidney Stones Are A Common Complaint Worldwide, Causing Many People To Admit To Emergency Rooms With Severe Pain. Various Imaging Techniques Are Used For The Diagnosis Of Kidney Stone Disease. Specialists Are Needed For The Interpretation A...
NEURAL NETWORK BASED RETINAL BLOOD VESSEL SEGMENTATION AND DISEASE IDENTIFICATION
Diabetic Retinal Image Classification Aims To Conduct Diabetic Retinopathy Automatically Diagnosing, Which Has Achieved Considerable Improvement By Deep Learning Models. However, These Methods All Rely On Sufficient Network Training By Larg...
FMRI BUG DATA ANALYTICS USING MACHINE LEARNING
Brain MRI Classification Is An Essential Task In Many Clinical Applications Because It Influences The Outcome Of The Entire Analysis. This Is Because Different Processing Steps Rely On Accurate Segmentation Of Anatomical Regions. Enormous P...
HIGH GAIN SUPERLIFT LUO CONVERTOR BASED GRID CONNECTED HYBRID SOLAR WIND ENERGY SYSTEM
As Electric Distribution Technology Steps Into The Next Century, Many Trends Are Becoming Noticeable That Will Change The Requirements Of Energy Delivery. These Modifications Are Being Driven From Both The Demand Side Where Higher Energy Av...
IMPLEMENTATION NEURO-FUZZY PREDICTOR FOR PV POWER GENERATION IN MPPT APPLICATIONS
The Intermittent Nature Of PV Generation Makes It Difficult To Plan Load Dispatch From Grids Which Have PV Integration. One Of The Most Effective Ways To Predict PV Power Is To Estimate The Solar Irradiation On The PV Cells Which Typically...
BRAIN DISEASE DIAGNOSIS USING RF
Brain Is That The Dominant Center Of Our Body. With The Arrival Of Your Time, Newer And Newer Brain Diseases Are Being Discovered. Thus, Attributable To The Variability Of Brain Diseases, Existing Designation Or Detection Systems Have Becom...
REGENERATIVE BRAKING IN ELECTRIC VEHICLES APPLICATIONS USING BIDIRECTIONAL DC- DC CONVERTER WITH SOLAR ENERGY
In This Paper, Regenerative Braking In Electric Vehicles Applications Using Bidirectional Dc-Dc Converter With Solaar Energy, Bidirectional DC/DC Buck-boost Converter With Dual Control Strategy During Regenerative Braking Is Used For A Two-...
FUZZY GRAPH AND THEIR APPLICATIONS: A REVIEW
Following The Introduction And Development Of Fuzzy Sets, Various Investigations On This Subject Were Conducted, With The End Result Appearing As A Fuzzy Graph (Combination Of Graph Theory And Fuzzy Set Theory). In This Post, We Will Look A...
A REVIEW ON GASTRORETENTIVE DRUG DELIVERY SYSTEMS
The Purpose Of Writing The Review On Gastroretentive Drug Delivery Systems (GRDDS) Was To Accumulate The Current Literature With A Special Emphasis On Several Gastroretentive Approaches That Have Recently Become Important Methodologies In T...
A STUDY ON DERMATOLOGICAL DISEASES USING CLASSIFICATION APPROACHES
Machine Learning Algorithms Are Widely Used In Medicine. Breast Cancer, Kidney Illness, Thyroid Disease, Diabetes, Cancer, Erythemato-squamous Diseases, And A Variety Of Other Ailments All Can Benefit From These Machine Algorithms. The Eryt...
A TWO AREA LOAD FREQUENCY CONTROL USING FUZZY GAIN SCHEDULING OF PID CONTROLLERS
Continuous Load Perturbation In Power Systems Network Affects The Frequency Directly. If The System Load Frequency Control (LFC) Mechanism Is Working Perfectly, The Frequency Is Quickly Returned To The Normal Operating Point. The Convention...
INTEGRATED SECURITY TRENDS IN IOT BASED DEVICES: A SURVEY
The Internet Of Things (IoT) Is A Network Of Physical Objects Or Things Which Are Connected Or Embedded With Various Sensors And Software To Exchange Data About Them Through Internet. The Current – Covid 19 – Situation Brought New Security...