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Vol 12, Issue 8 (August 2026) CIVIL ENGINEERING

CONSTRUCTION COMPONENTS OF ELEVATED METRO SYSTEMS PILES, PILES CAP, PIERS AND PORTABLE BEAMS

Examination Of Bridge Pier Is Completed For Various Pier Width And Thicknesses. The Boundary Considered Is To Examine The Impact Of Pier Width On Pressure And Dislodging. The Investigation Shows That Complete Uprooting And Stresses Incremen...

Md Nawed Raza, Hitesh Kodwani
Vol 12, Issue 8 (August 2026) Mechanical Engineering

Design, Development, And Experimental Validation Of An Automatic Solar Photovoltaic Panel Cleaning System Under Real Outdoor Conditions

Solar Energy Is One Of The Most Widely Utilized Renewable Energy Sources For Electrical Power Generation. However, The Performance Of Photovoltaic (PV) Panels Is Significantly Affected By The Accumulation Of Dust, Bird Droppings, And Other...

SENTHILKUMAR R, Dr. M. Senthilkumar
Vol 12, Issue 8 (August 2026) B.com, LLB

Regulating Deepfakes In India: Balancing Technological Innovation, Privacy Rights And Freedom Of Expression

Deepfake Technology Powered By Artificial Intelligence Has Emerged As One Of The Most Influential Developments In The Digital Age. By Creating Realistic But Manipulated Audio, Video And Image Content Deepfakes Have Opened New Possibilities...

Praveena. S, Muhhesh Kumar. S
Vol 12, Issue 8 (August 2026) Civil Engineering

Performance Evaluation Of Natural Zeolite-Based Fiber Reinforced Concrete Under Flexural And Tensile Loading

The Incorporation Of Supplementary Cementitious Materials And Fiber Reinforcement Has Become An Effective Strategy For Developing Sustainable Concrete With Enhanced Structural Performance. Among These Materials, Natural Zeolite Possesses Si...

Mr. Vijay Dileep Deshmukh, Prof. G. N. Shete
Vol 12, Issue 8 (August 2026) Structural Engineer

Design And Analysis Of Industrial Warehouses Using STAAD.Pro: Comparative Assessment Of Conventional Steel And Pre-Engineered Building Systems

This Paper Presents A Comparative Analysis Of Conventional Steel Structure (CST) And Pre-engineered Building (PEB) Systems For An Industrial Warehouse Using STAAD.Pro. Four Principal Models Were Examined: Three-bay And Nine-bay CST Structur...

Om Prashant Patrike, P. A. Vedpathak
Vol 12, Issue 8 (August 2026) Structural Engineer

Analysis on Behavior of High Rise Irregular R.C. Structure Against Influence of Strong Strength of Wind Load

Rapid Urbanisation And Architectural Demand Have Increased The Use Of Slender High-rise Reinforced-concrete (RC) Buildings With Setbacks, Re-entrant Corners, Non-rectangular Plans, Twisting Forms, Unequal Stiffness Distributions, And Other...

Sawant Anant Dnyanoba, Prof.Anantwad S.B
Vol 12, Issue 8 (August 2026) Structural Engineer

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...

Shubham Dalave, Prof.Anantwad S.B
Vol 12, Issue 7 (July 2026) Structural Engineer

EFFECT OF STICKY RICE, JAGGERY, SUGAR, AND ADDITIONAL LIME ON THE COMPRESSIVE AND SPLITTING TENSILE BEHAVIOUR OF LIME MORTAR

Background: Compressive Resistance And Tensile-cracking Capacity Are Central To The Serviceability Of Lime Mortars Used In Masonry And Repair. Objective: The Investigation Quantifies The 7- And 28-day Compressive And Splitting Tensile Behav...

Prashant Namdevrao Jogdand, Dr. P. D. Tambolkar
Vol 12, Issue 7 (July 2026) Civil Engineer

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...

Pooja Ulagadde, Prof Anantwad S.B
Vol 12, Issue 7 (July 2026) Computer Science

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...

Mohini Namdev, Prof. Pradeep Pal

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...

DR SONIA MAGO, JASMINE SHRIVASTAV, DIKSHA SHARMA
Vol 12, Issue 7 (July 2026) PHARMACY

Andrographis Paniculata: Phytochemistry, Pharmacological Activities, Cardioprotective Potential, And Recent Advances

Traditional Herbal Medicines Remain An Important Source Of Healthcare, Particularly In Developing Countries. This Study Evaluated The Cardioprotective Effect Of An Aqueous Extract Of Andrographis Paniculata Against Dichlorvos-induced Cardia...

SIVA ANANDH P, R Madhanraj, T Harish, K P Suhaash, A Reeban Babu
Vol 12, Issue 7 (July 2026) Information Technology

A Review On Machine Learning And Deep Learning Models For Estimating Customer Churn Rates

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...

Ritu Yadav, Prof. Pradeep Sharma
Vol 12, Issue 7 (July 2026) Computer Science

An Optimized Deep Learning Model For Churn Rate Prediction

Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...

Mahak Mansuri, Prof. Pawan Panchole
Vol 12, Issue 7 (July 2026) Computer Science

A Deep Learning Approach For Predicting Crypto Currency Prices Trends

Machine Learning And Deep Learning Models Are Being Extensively Used At The Backend Of Forecasting Crypto Prices. Many Factors, Including Changes In Regulation, Public Opinion On Social Media, Investor Actions, And Overall Global Economic T...

Ayush Pal, Dr. Neha Jain

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