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Papers tagged with "Analysis"
Runtime And Security Evaluation Of Lightweight Biometric Models For Edge Based Access Control
This Study Presents A Runtime And Security Evaluation Of Lightweight Biometric Models For Edge-based Access Control. The Work Evaluates MobileNetV2 For Face Recognition And EfficientNetB0 For Fingerprint Recognition Within An Edge-aware Acc...
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
CONTENT ANALYSIS OF MOLECULAR AND CELLULAR BIOLOGY
The Present Study Aims To Conduct A Content Analysis Of The Journal Of Molecular & Cellular Biology For The Period From 2016 To 2020. The Study Examines The Publication Pattern And Characteristics Of The Articles Published During This Perio...
EFFECT OF SOIL-STRUCTURE INTERACTION ON TORSIONAL IRREGULARITY IN A MULTISTOREY BUILDING: AN ETABS RESPONSE-SPECTRUM STUDY
Soil-structure Interaction (SSI) Modifies The Effective Boundary Conditions Of Multistorey Buildings Through Foundation Translation, Rocking And Torsional Flexibility. These Effects Are Especially Important In Plan-irregular Reinforced-conc...
Energy And Exergy Performance Evaluation Of A Vapour Compression Refrigeration System Using Conventional (R134a) And TiO₂ Nano-Refrigerant
The Increasing Demand For Energy-efficient And Environmentally Sustainable Refrigeration Systems Has Led To The Exploration Of Advanced Working Fluids. This Study Presents The Energy And Exergy Analysis Of A Vapour Compression Refrigeration...
Simulation-based Comparative Analysis Of Positive Output Luo Converter Topologies For High-Gain DC–DC Applications
High-gain DC–DC Converters Play A Significant Role In Renewable Energy Systems, Electric Vehicles, Battery Charging Systems, Fuel Cells, And Other Modern Power Electronic Applications Where Efficient Voltage Conversion Is Essential. Convent...
A Review On Machine Learning And Deep Learning Models For Forecasting Renewable Energy Production
The Transition Towards Renewable Energy Is No Longer Just An Option But A Necessity In Addressing The Growing Challenges Of Climate Change, Environmental Degradation, And Energy Security. Fossil Fuels, Which Currently Dominate Global Energy...
Bibliometric Studies In Library And Information Science: A Review Of Methods, Applications, And Emerging Trends
Bibliometrics Has Become An Important Research Approach For Examining The Growth, Structure, Visibility, And Development Of Scholarly Literature. In Library And Information Science (LIS), Bibliometric Techniques Are Increasingly Used To Stu...
SEISMIC PERFORMANCE OF VARIOUS STRUCTURAL CONFIGURATIONS FOR RC BUILDING ON SLOPED TERRAIN CONSIDERING SOIL-FOUNDATION-STRUCTURE APPROACH
With The Population Increase Necessitates The Construction Of Multi-storey Buildings On Sloping Terrain. Due To The Lack Of Plain Land In Hilly Regions, Most Of The Structures Are Built On The Slopes Of Hills With Irregular Structural Layou...
Analysis Of High-Rise Building By Comparing Footing With Base Isolation And Without Base Isolation Using Etabs
High-rise Buildings Founded On Conventional Isolated, Combined, Or Raft Footings Transfer Earthquake Motion Directly Into The Superstructure, Whereas A Base-isolation Layer Modifies This Load Path By Introducing Controlled Lateral Flexibili...
TOPOGRAPHY-INDUCED SPATIAL VARIABILITY IN THE SEISMIC ANALYSIS OF LONG-SPAN ARCH BRIDGES: A SYSTEMATIC REVIEW
Long-span Arch Bridges Are Frequently Selected For Deep Valleys And Canyon Crossings, Yet The Same Topography That Makes The Structural Form Attractive Can Substantially Modify Earthquake Input At The Foundations. This Review Synthesizes Re...
A Review On Machine Learning And Deep Learning Models For Identifying Potentially Extremist And Radicalized Content
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks
Brain Tumors Are Among The Most Life-threatening Neurological Disorders That Require Early And Accurate Diagnosis To Improve Patient Survival And Treatment Outcomes. Magnetic Resonance Imaging (MRI) Is Widely Used For Detecting Brain Abnorm...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks: A Review
Brain Tumor Detection Is One Of The Most Critical Applications Of Artificial Intelligence (AI) In Medical Image Analysis. Early And Accurate Identification Of Brain Tumors Plays A Vital Role In Improving Patient Survival Rates And Assisting...
BRIDGING LEARNING GAPS THROUGH STEM EDUCATION
STEM Education Is Applied To Raise Individuals Having 21st-century Skills Based On The Integration Of Science, Technology, Engineering, And Mathematics. This Paper Aims To Present The Overall Effect Of STEM Education On Students’ Academic A...