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Papers tagged with "Lut"
REVIEW ARTICLE ON CHROMATOGRAPHY
Chromatography Is A Separation Technique Used To Separate Mixture's Constituent Parts. The Mixture's Components Are Spread In A Liquid Solution Known As The Mobile Phase, Which Binds Them Together As They Pass Through A Structure Contain...
FORECASTING CROP YIELDS EMPLOYING GRADIENT DESCENT ALGORITHM FOR DEEP NEURAL NETWORKS
Agriculture Is Undergoing A Metamorphosis Due To Several Environmantal And Scoal Factors. Due To Challenges Such As Global Warming, Intermittent Rainfall Patterns And Eroding Nutrient Values Of Soil, Crop Yileds Have Become More Upredictabl...
APPLYING RESIDUAL CONVOLUTIONAL NEURAL NETWORKS (RESNET) FOR AUTOMATED DETECTION OF LEUKAEMIA
The Present Work Proposes A Technique For Blood Cancer (leukemia) Classification Based On Machine Learning. Manual Classification Of Blood Cancer Is Very Challenging And Prone To Errors And Therefore Machine Learning Approaches Are Employed...
A review on heavy metal chromium (VI) biosorption moderated by exopolysaccharide producing microorganism.
Pollutants Have Created A Need For Entirely New Environmental Remediation Technologies That Are Greener, Cheaper, And More Efficient To Eliminate Or Reduce Pollution. A Branch Of Environmental Biotechnology, Bioremediation, Is Currently Con...
IMPACT OF COPPER ON MINING INDUSTRY EFFLUENTS AND SOIL QUALITY PARAMETERS
Metal Pollution Expanded When Mining And Industrial Activities Increased In The Late 19th And Early 20th Centuries. The Current World Mine Production For Cu, Cd, Pb And Hg Is Quite Significant. They Pose A Risk To Primary And Secondary User...
FACIAL EMOTION DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
Recognizing Human Emotions Is Crucial To Interpersonal Relationships. One Of The Most Potent And Difficult Social Communication Research Tasks Is Emotion Identification From An Image. Since The Beginning Of Time, Researchers Have Been Inter...
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...
A REVIEW ON SUPPLY CHAIN FORECASTING METHODS BASED ON EVOLUTIONARY ALGORITHMS
Supply Chain Management Has Remained An Active Area Of Research Due To Its Widespread Applications In Several Domains Of Manufacturing Business. Supply Chain Management Is A Broad Domain Of Business Analytics With Each Sub-domain Having Its...
A COMPREHENSIVE SURVEY ON ESTIMATING CROP YIELDS BASED ON MACHINE LEARNING
Crop Yield Prediction Is A Critically Important Forecasting Problem Trying To Address Food Security In The World. This Is A Crucial AI Based Application Where The Previous Crop Yield Is Used To Train A Machine Learning Model And Then The Fu...
MULTIPLE-SOURCE REMOTE SENSING IMAGE CLASSIFICATION USING GENERATIVE ADVERSARIAL NETWORK
Deep Learning Has Made Spectacular Breakthroughs In Many Computer Vision Tasks, Such As Semantic Segmentation And Object Detection Which Are Driven By The Progress Of Deep Convolutional Neural Networks (CNNs) And Large Quantities Of Availab...
SOFT BIOMETRIC TRAIT ON FINGERVEIN RECOGNITION USING CNNRESNET
Many Finger Vein Feature Extraction Algorithms Achieve Adequate Performance Due To Their Ability To Reflect Texture, While Simultaneously Ignoring The Finger Tissue-forming Intensity Distribution And In Some Cases Processing It As Backgroun...
RECOGNITION OF HANDWRITTEN AND PRINTED TEXT USING CNN
Character Recognition Still Remains An Active Area For Research Towards Exploring The New Techniques That Would Help In Improving Recognition Accuracy. This Project Focuses On Recognition Of Character From The Image With The Help Of CNN. Th...
ADVANCED PLANT DISEASE DETECTION USING NEURAL NETWORK
The Latest Generation Of Convolutional Neural Networks (CNNs) Has Achieved Impressive Results In The Field Of Image Classification. This Paper Is Concerned With A New Approach To The Development Of Plant Disease Recognition Model, Based On...
TIMING-ERROR-TOLERANT
The Timing Error Is Now Getting Increased Attention Because Of High Rate Of Error Occurrence On Semiconductor. In This Paper, The Clock Controlling System Is Used In Flip-flop To Prevent The Timing Error. Timing Error Would Be Detected And...
GLAUCOMA DETECTION USING DEEPCNN AND ADADELTA ALGORITHMS
Glaucoma Is One Of The Leading Causes Of Blindness Or Vision Impairment According To World Health Organization. It Requires Lot Of Expertise And Practice To Detect Glaucoma From The Retinal Color Fundus Images. Certain Types Of Glaucoma Are...