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Cost Audit In India: Regulatory Effectiveness, Compliance Burden And Opportunities For Reform
Statutory Cost Audit Represents One Of The Most Distinctive And Debated Dimensions Of Corporate Regulation In India. Originating As An Administrative Intervention To Curb Industrial Profiteering And Ensure Resource Conservation During The P...
Battery Swapping EV Powered Station
Battery Swapping Can Remove The Waiting Time Of Plug-in Charging, But A Low-cost Station For A Small Fleet Must Still Control Who May Open The Battery Bay And Keep Watch On The Batteries Being Charged. This Paper Presents The Design And Ben...
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...
Industrial Effluents And Heavy Metal Pollution: A Global Water Crisis
Heavy Metal Contamination Of Water Is One Of The Most Pressing Environmental And Public Health Crises Of The Industrial Era, Particularly In Rapidly Developing Nations Where Regulatory Frameworks Lag Behind Industrial Expansion. This Review...
ForestGuard AI: Acoustic Detection Of Chainsaw Activity For Illegal Logging Monitoring
Illegal Logging Is A Major Environmental Problem That Affects Forest Ecosystems, Biodiversity, And Natural Resources. Conventional Forest Monitoring Techniques Based Mainly On Manual Patrols And Visual Inspection Can Be Difficult To Scale A...
BEYOND MEASUREMENT: BOARD-BASED ASSESSMENT AS A MECHANISM OF SOCIAL ENGINEERING IN EDUCATION
Board-based Assessment Is Generally Regarded As A Mechanism For Measuring Academic Achievement, Maintaining Educational Standards And Ensuring Institutional Accountability. However, Its Influence Extends Beyond The Measurement Of Learning....
PERFORMANCE EVALUATION OF M60 CONCRETE INCORPORATING GGBS AND ALCCOFINE AS PARTIAL CEMENT REPLACEMENTS
This Paper Evaluates The Mechanical Performance Of M60 Concrete In Which Ordinary Portland Cement Is Partially Replaced By Ground Granulated Blast-furnace Slag (GGBS) And Alccofine 1203. A Constant Total Binder Content Of 450 Kg/m³, Water C...
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...
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
Design And Physical Implementation Of An INT8 Output-Stationary Systolic Array CNN Accelerator For TinyML Inference Using Open-Source SKY130 PDK And OpenLane EDA Flow
This Paper Presents The Design And Complete Physical Implementation Of A 4×4 INT8 Output-stationary Systolic Array Accelerator For TinyML Convolutional Neural Network (CNN) Inference, Targeting Edge Vision Applications Such As Image Classif...
A Sparsity-Aware Operand-Isolated Systolic Array Accelerator For Power-Efficient CNN Inference On FPGA
CNN Inference On FPGA Platforms Can Incur Substantial Dynamic Power Because Parallel Multiply-accumulate Datapaths May Continue Switching When Sparse Operands Contain Zeros. This Paper Presents A Sparsity-aware Operand-isolated Systolic Arr...
ANALYSIS OF AN UNSYMMETRICAL TALL STRUCTURE CONSIDERING FLOATING COLUMN CONSIDERING LATERAL FORCES USING ANALYSIS TOOL STAAD.PRO
Floating Columns Are One Of The Important Aspects Of Multi-storey Structures Due To Their Various Advantages Thus Seem To Be Unavoidable. Floating Columns Are Generally Not Found Reliable In Seismic Prone Areas. This Research Is Followed To...
An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data
Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...
A Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...