Engine Mounts and its Design Considerations forum

Download Full-Text PDF Cite this Publication Dr. M. Nagaraju Naik, Prof. M. Padmavathamma, Galla Narayana, 2026, An Adaptive and Interpretable Federated Deep Learning Architecture for Privacy-Aware Network Threat Classification, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Dr. M. Nagaraju Naik, Prof. M. Padmavathamma, Galla Narayana Paper ID : IJERTV15IS090527 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version An Adaptive and Interpretable Federated Deep Learning Architecture for Privacy-Aware Network Threat Classification Dr. M. Nagaraju Naik¹ | Prof. M. Padmavathamma² ¹ Research Scholar, Department of Computer Science, Sri Venkateswara University, Tirupati, Andhra Pradesh, India ² Research Supervisor, Department of Computer Science & Dean, Faculty of Sciences, Sri Venkateswara University, Tirupati, Andhra Pradesh, India Galla Narayana 3 3 Research Scholar, Department of Computer Science, Sri Venkateswara University, Tirupati, Andhra Pradesh, India AbstractThe increasing distribution of enterprise computing across cloud platforms, edge devices, branch networks, and Internet-of- Things environments has made the collection and centralized analysis of n

Download Full-Text PDF Cite this Publication Nandini Sharma, 2026, Digital Influence and Smartwatch Purchase among Youth in a Saturating Indian Market: A Stimulus-Organism-Response Framework for Chhatrapati Sambhaji Nagar, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Nandini Sharma Paper ID : IJERTV15IS090970 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Digital Influence and Smartwatch Purchase among Youth in a Saturating Indian Market: A Stimulus-Organism-Response Framework for Chhatrapati Sambhaji Nagar (How Influencers, Online Reviews and Sales Offers Shape Young Buyers) Nandini Sharma Research Scholar, Alard School of Business Management Alard University Pune, Maharashtra, India Abstract- Smartwatch shipments in India have fallen for two consecutive years after a period of rapid, discount-led growth, yet digital media continue to shape how young consumers discover, evaluate and buy these devices. This paper develops a conceptual framework, grounded in the Stimulus-Organism-Response model, that explains how three forms of digital influence (influencer credibility, peer reviews and electronic word of mouth, and platform promotion intensity) ac

Download Full-Text PDF Cite this Publication Prof. Ashish Dudhale, Prof. Dr Rajashree Suryavanshi, 2026, Adaptive Cryptography Key Management using Machine Learning Based Intrusion Detection, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 2 Authors : Prof. Ashish Dudhale, Prof. Dr Rajashree Suryavanshi Paper ID : IJERTV15IS090907 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Adaptive Cryptography Key Management using Machine Learning Based Intrusion Detection (1st) Prof. Ashish Dudhale Department of Electronics and Telecommunication Engineering Army Institute of Technology Dighi, Pune, India (2nd) Prof. Dr Rajashree Suryavanshi Department of Electronics and Telecommunication Engineering Army Institute of Technology Dighi, Pune, India Abstract – Modern communication systems use static cryptographic keys that are highly vulnerable to cyber- attacks, which can compromise sensitive data over time. To solve this problem, our project proposes an Adaptive Cryptography framework that integrates Machine Learning- based Intrusion Detection Systems (IDS) with dynamic key management. The system applies prescriptive modelling techniques to analyze the real-time and histori

Download Full-Text PDF Cite this Publication Mr. Kiran A. Gund, Dr. Prasad M. Patare, Mr. Dilip A. Patil, 2026, Comparative Analysis of 3D Printed Material Properties Through Optimization of FDM Process Parameters, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Mr. Kiran A. Gund, Dr. Prasad M. Patare, Mr. Dilip A. Patil Paper ID : IJERTV15IS090936 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Comparative Analysis of 3D Printed Material Properties Through Optimization of FDM Process Parameters Kiran A Gund (1), Prasad M. Patare (2), Dilip A. Patil (3) Department of Mechanical Engineering, Sanjivani College of Engineering, Kopargaon. Autonomous Engineering By UGC & SP Pune University; Department of Mechanical Engineering, Sanjivani KBP Polytechnic College , Kopargaon. Abstract – Additive Manufacturing (AM), particularly Fused Deposition Modelling (FDM), has emerged as a widely adopted technology for producing complex polymer components with reduced manufacturing time and cost. However, the mechanical performance of FDM-printed parts is significantly influenced by process parameters and material selection. This study investigates the effect of five ke

Download Full-Text PDF Cite this Publication Dr. M. Kondaiah, Dr. K. Sreekanth, 2026, Ultrasonic Velocity, Density, and Acoustic Properties of Aqueous Ethylene Glycol Solutions in Methanol, Ethanol, and 1-Propanol at 308.15 K, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Dr. M. Kondaiah, Dr. K. Sreekanth Paper ID : IJERTV15IS090934 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Ultrasonic Velocity, Density, and Acoustic Properties of Aqueous Ethylene Glycol Solutions in Methanol, Ethanol, and 1-Propanol at 308.15 K M. Kondaiap (1)* and K. Sreekantp (2) (1) Department of Physics, Tara Govt. College (A), Sangareddy, 502 001, Sangareddy Dist., Telangana, India (3) Department of Physics, PBN College, Nidubrolu, 522 124, Guntur District, AP, India *Corresponding Author : Dr M Kondaiah Abstract: f The ultrasonic velocities (u) and densities () of 0.3 and 0.9 m aqueous ethylene glycol solutions in methanol, ethanol, and 1-propanol have been measured over the entire composition range at 308.15 K. The ultrasonic velocity increases with increasing alkanol mole fraction in the range, 0 ethanol > 1-propanol. L f The E and Z has resembled the same trend as we

Abstract The expansion of digital pharmacy services has made it possible for patients to obtain healthcare information, complete clinical assessments and access appropriate treatment without every interaction requiring a face-to-face consultation. These systems can be particularly valuable for sensitive health concerns, where privacy concerns or embarrassment may otherwise discourage patients from seeking professional advice. However, digital pharmacy platforms necessarily process information relating to identity, medical history, current medication and potentially highly sensitive conditions. Protecting this information therefore requires more than adding security controls after a platform has been developed. This paper examines a privacy-by-design approach to digital pharmacy architecture, focusing on authentication, data minimisation, encrypted data transmission and storage, secure clinical questionnaires, access control, auditability and medication fulfilment. Erectile dysfunction is considered as a practical case study demonstrating why privacy protections must operate alongside clinical safety controls. The paper argues that digital pharmacy platforms should treat privacy, cybersecurity and clinical governance as interconnected system requirements rather than independent features. Keywords: digital pharmacy, privacy by design, healthcare cybersecurity, telepharmacy, patient data, authentication, encryption, digital health I. Introduction Digital healthcare systems incre

Download Full-Text PDF Cite this Publication Alpesh Kanubhai Patel, 2026, Agentforce Multi-Agent Orchestration: How Multiple AI Agents Work Together, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Alpesh Kanubhai Patel Paper ID : IJERTV15IS090941 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Agentforce Multi-Agent Orchestration: How Multiple AI Agents Work Together Alpesh Kanubhai Patel Information Technology(Salesforce Developer) Abingdon, Harford Abstract – As organizations extend Salesforce Agentforce across more business processes, a single agent is often asked to cover responsibilities that belong to different teams, data domains, and security boundaries. Salesforce’s response is multi-agent orchestration, which it lists as generally available in the Summer ’26 release (June 2026). In this model, a primary agent acts as the single point of contact for a user and delegates work to specialist agents, each grounded in its own data and equipped with its own actions. This paper explains how the pattern works in Agentforce: description-driven routing through the Atlas Reasoning Engine, context handoff between agents, deterministic control through Ag

Download Full-Text PDF Cite this Publication Syeda Zoya, Insiya Maryam, Raju Kumar Allam, Neha Kauser, 2026, Intelligent CRM: Integrating Customer Data, Analytics, and Machine Learning for Better Customer Decisions, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Syeda Zoya, Insiya Maryam, Raju Kumar Allam, Neha Kauser Paper ID : IJERTV15IS090923 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Intelligent CRM: Integrating Customer Data, Analytics, and Machine Learning for Better Customer Decisions Syeda Zoya (1), Insiya Maryam (2), Raju Kumar Allam (3), Neha Kauser (4) (1) Data Solutions Specialist, Falcon Informatics (2) Platform Head, Falcon Informatics (3) Practice head, Falcon Informatics (4) Business Development Executive, Falcon Informatics Abstract – Customer Relationship Management (CRM) systems collect customer information but often provide limited intelligence for identifying customer risks, behavioral patterns, and appropriate actions. This study proposes an Intelligent CRM framework that integrates customer data, Customer 360 profiling, analytics, machine learning, and rule-based recommendations. The framework combines transaction, payment

Download Full-Text PDF Cite this Publication Anand Kumar H, Sunil Kumar G, Mustafa Basthikodi, 2026, Quality of Service Challenges and Solutions in Multi-Tenant Community Clouds: A Comprehensive Survey, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Anand Kumar H, Sunil Kumar G, Mustafa Basthikodi Paper ID : IJERTV15IS090892 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Quality of Service Challenges and Solutions in Multi-Tenant Community Clouds: A Comprehensive Survey Anand Kumar H (1), Sunil Kumar G (2), Mustafa Basthikodi (1) (1) Department of Computer Science & Engineering, Sahyadri College of Engineering & Management, Mangaluru, VTU, Belagavi, (2) Department of Computer Science & Engineering, University of Visvesvaraya College of Engineering, Bengaluru. Abstract – Community cloud computing has emerged as an effective deployment model for organizations that share common security policies, governance frameworks, and regulatory requirements while benefiting from collaborative resource sharing. By enabling multiple organizations to utilize a common cloud infrastructure, community clouds improve resource utilization, reduce operational costs, and f

Download Full-Text PDF Cite this Publication Mrs. A. Lakshmi Prasanna, N. Pradeep, Y. Rajashekar Reddy, A. Sanjana, 2026, Ai Enabled Water Predictor, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Mrs. A. Lakshmi Prasanna, N. Pradeep, Y. Rajashekar Reddy, A. Sanjana Paper ID : IJERTV15IS090699 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 03-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Ai Enabled Water Predictor Mrs. A. Lakshmi Prasanna, N. Pradeep, Y. RajaShekar Reddy, A. Sanjana Computer Science and Engineering(AI&ML),CMR institute of technology , Hyderabad ,Telangana,India Abstract – Accurate predictions of groundwater availability have been a significant challenge because of complex interactions among rainfall, soil properties and subsurface geology, particularly in sectors of the economy that rely on agriculture. Incorrect siting of wells has resulted in agricultural losses and inefficient use of limited water supplies. The focus of this study was to develop an AI-based water well prediction system through the use of classification/regression learning methods (decision trees and ensemble/composite) and clustering techniques to identify areas with viable ground water supplies. Through the ex

Download Full-Text PDF Cite this Publication Abdallah Mjema, Dr. Clarance Kisiki, George J. Ishabairu, 2026, Hydrogeological Assessment of Aquifer Hydraulic Properties and Pumping-Induced Groundwater Level Fluctuation At Kimbiji Well Field, Tanzania., INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 15, Issue 09 , September – 2026 Open Access Article Download / Views: 0 Authors : Abdallah Mjema, Dr. Clarance Kisiki, George J. Ishabairu Paper ID : IJERTV15IS090495 Volume & Issue : Volume 15, Issue 09 , September – 2026 Published (First Online): 02-10-2026 ISSN (Online) : 2278-0181 Publisher Name : IJERT License: This work is licensed under a Creative Commons Attribution 4.0 International License PDF Version View Text Only Version Hydrogeological Assessment of Aquifer Hydraulic Properties and Pumping-Induced Groundwater Level Fluctuation At Kimbiji Well Field, Tanzania. Authors: Abdallah Mjema (1)* , Dr. Clarance Kisiki (1) , George J. Ishabairu (1) Department: Water Supply and Sanitation Engineering, Water Institute, Dar es Salaam, Tanzania. (2) Department: Water Supply and Sanitation Engineering, Water Institute, Singida Campus, Tanzania. Abstract – This study determine aquifer hydraulic properties and pumping induced groundwater level fluctuation at kimbiji well field, Tanzania, to evaluate groundwater sustainability under increasing of abstraction. Aquifer pumping test data from wells were analyzed to determine hydraulic conductivity (K), transmissi

A friend sent me her resume last month with a note: “I paid for this template and now it won’t let me download it without a subscription.” She had spent two evenings typing her work history into a slick online editor, picked a nice teal layout, clicked Download, and hit a paywall. It happens constantly. Plenty of tools advertise themselves as free and then charge you at the exact moment you need the file. So this list is built around one question: can you write, edit and download a usable resume without paying? Every tool below lets you get a finished resume out the door at no cost, though some keep their better features behind a paid plan. I’ve ranked them by how far the free version actually gets you. A quick note on what “AI” means here. At minimum, the tool should help you write or rewrite content, not just drop your text into a template. If all it does is format, a word processor does the same job. 1. Quillbot AI Resume Builder Quillbot is better known for its paraphraser and grammar checker, and that background shows in its resume tool. The writing help is the strongest part. You work through the resume one section at a time (contact details, summary, experience, education, skills), and at each step you can ask the AI to tighten or reword what you’ve typed. For anyone who stares at a blank “Experience” box for twenty minutes, this is the feature that matters most. What I like most is how it handles weak bullet points. Say you type something vague: Before: “Responsible f