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A Study On Predicting House Prices With Deep Learning: An Evaluation Of Advanced Neural Network Models
Everyone Dreams Of Owning A Home That Aligns With Their Lifestyle And Meets Their Unique Needs, Including Essential Amenities. Factors Like Area, Location, And Views Play A Major Role In Determining The Price Of A House. However, Predicting...
Mobile Security Threats And Prevention Strategies
Mobile Devices Are An Essential Part Of Our Lives But Mobile Devices Are At Risk Of Being Hacked, Stolen, Or Compromised. This Paper Looks At The Common Threats To Mobile Security, Such As Malware, Phishing, And Social Engineering. We Discu...
Pioneering Connectivity: The Internet Of Things (IoT) Revolution
The Internet Of Things (IoT) Represents A Transformative Paradigm In The Interconnectedness Of Devices, Systems, And Services. This Paper Explores The Fundamental Concepts Of IoT, Its Applications, Enabling Technologies, And The Challenges...
Pioneering Cloud Technology And Advanced Security Protocols
The Rapid Adoption Of Cloud Computing Has Fundamentally Transformed Data Management, Offering Scalable, Cost-effective, And Highly Accessible Solutions For Organizations Worldwide. However, This Evolution Introduces A Range Of Security Chal...
Cybersecurity: Future Directions, Advances And Challenges
Cybersecurity Has Evolved Into A Cornerstone For Protecting Digital Infrastructures, Sensitive Data, And Personal Privacy. This Research Paper Investigates The Shifting Paradigms Of Cybersecurity, Analyzing Current And Emerging Threats, Adv...
CROSS-PLATFORM SECURE PHOTO SHARING FRAMEWORK USING DEEP LEARNING
In The Era Of Ubiquitous Digital Communication, The Secure Sharing Of Multimedia Content Across Diverse Platforms Has Become A Critical Concern. This Project Introduces A Robust And Secure Photo-sharing Framework Leveraging Advanced Deep Le...
SMART UNMANNED PANZER THROUGH INTERNET OF THINGS FOR DEFENCE
The Primary Objective Of Our Project Is The Development Of An Unmanned Smart Panzer Equipped With Target Destruction Capabilities. The Communication Between The Controller And The Unmanned Smart Panzer Is Facilitated Through A Wireless Inte...
Kidney Stone Detection From Ultrasound Images Using Canny Edge Detection And CNN Classification
Kidney Stone Detection Is A Critical Task In Diagnosing And Managing Urological Disorders. This Project Focuses On Developing A Robust System For Kidney Stone Detection Using Ultrasound Images. The Methodology Integrates Canny Edge Detectio...
Cybersecurity Challenges In Remote Work Environment
The Advent Of Remote Work Has Transformed The Workplace But Has Also Introduced Significant Cybersecurity Challenges. This Paper Explores The Vulnerabilities Associated With Decentralized Work Environments, Emphasizing Phishing Attacks, End...
Wifi intrusion detection system
Wireless Networks Have Become Indispensable To Modern Communication Systems But Face Persistent And Sophisticated Security Challenges. This Paper Presents A Comprehensive Wi-Fi Intrusion Detection System (IDS) Utilizing Cutting-edge Machine...
EMERGING TRENDS IN COLORIMETRIC APPROACHES FOR DRUG ANALYSIS: AN IN-DEPTH REVIEW OF METHODS AND APPLICATIONS
This Review Aims To Show How Important Colorimetric Methods Are For Drug Analysis In Both Medicines And Biological Samples. Colorimetric Methods Use Special Reagents To Quickly And Accurately Detect Different Substances. These Methods Are W...
URBAN STREET CLEANLINESS ASSESSMENT USING MOBILE EDGE COMPUTING AND DEEP LEARNING
Object Detection Plays A Vital Role In Computer Vision, With Numerous Applications, Including Smart City Development. City Managers Invest Significant Resources In Cleaning Street Garbage Due To Its Unpredictable Appearance. As Deep Learnin...
Identification and Classification of Phishing Emails Based on Machine Learning Techniques to Improvise Cybersecurity
The Incidence Of Cybercrime Is Skyrocketing With The Proliferation Of Internet Users. Phishing Is Now The Most Effective Cyberattack Vector, With Evidence Of Its Widespread Use. Typical Real-world Settings Often Include An Uneven Distributi...
Predictive Cyber Attack Detection in Cloud Environments with Machine Learning from the CICIDS 2018 Dataset
The Exponential Rise Of Computer Network Assaults And Network Applications Throughout The World Has Occurred With An Increase In Cyberattacks. Datasets Like CSE-CIC-IDS2018 Were Developed In Order To Train Prediction Models For Network-base...
E-FRAUD PREVENTION BASED ON THE SELF- AUTHENTICATION OF E-DOCUMENTS
The Potential Of Fraud Has Become A Major Worry As Electronic Papers Are Used In More And More Industries. The Goal Of This Project, "e-Fraud Prevention Based Self-Authentication Of E-Documents Using Java," Is To Create A Reliable System Th...