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Papers tagged with "Sar"
Forensic Detection Of Toxic Chatbots, Deepfakes, And Automated Harmful Interactions: A State-of-the-Art Review
The Rapid Expansion Of Generative AI (GenAI) Technologies Has Enabled Unprecedented Synthesised Media And Sophisticated Automated Systems. The Existence Of Advanced Deepfake Technology, Generative Large Language Models (LLMs) That Can Produ...
AI Trust & Performance Evaluation Platform (AI-TPEP)
AI-TPEP (AI Trust & Performance Evaluation Platform) Is A Modular And Reproducible Framework For Comprehensive Evaluation Of Machine Learning Systems Across Key Trust Dimensions, Including Predictive Performance, Calibration, Fairness, Robu...
Enhanced Ransomware Detection Via Multi-Fragment Differential Area Analysis: Attacks, Countermeasures, And Resilience Evaluation
Crypto-ransomware Remains One Of The Most Destructive Categories Of Malware, Exploiting Strong Symmetric Encryption To Render Victim Data Inaccessible Until A Ransom Is Paid. Differential Area Analysis (DAA), Introduced By Davies Et Al., An...
Review Of Literature : Covid 19 Outbreaks Association With Mucormycosis In India & Worldwide
Coronavirus Disease 2019 (COVID‑19) Caused An Unprecedented Global Health Crisis And Was Associated With Multiple Secondary Infections, Among Which Mucormycosis Emerged As One Of The Most Severe Opportunistic Fungal Diseases. During The Sec...
RANDOM FOREST REGRESSION APPROACH FOR CROP YIELD ESTIMATION USING SENTINEL- 1 SAR, LULC, CLIMATE DATA
Crop Yield Estimation Plays A Major Role In Agricultural Planning And Food Security. Traditional Methods Of Crop Yield Estimation Are Time-consuming And Require Extensive Field Surveys. This Study Focuses On Estimating Rice Crop Yield Using...
Leveraging Machine Learning Based Channel Estimation For Security Of Software Defined Networks
Conventional Computer Networks Have Undergone A Paradigm Shift In Terms Of The Advent Of Wireless Pervasive Networks Such As IoT And Fog Networks. The Ease Of Mobility And Adaptive Configuration Enables Significant Ease Of Deployment And Us...
AI-Based Forensic Face Sketch Generation and Suspect Identification from Eyewitness Verbal Description
Suspect Identification Based On Eyewitness Descriptions Remains A Critical Challenge In Criminal Investigations Due To Memory Limitations, Language Barriers, And The Lack Of Reliable Visual Evidence. Traditional Forensic Sketching Methods R...
Integrated GAN And IR Algorithms For Noise-Robust Medical Image Reconstruction
Medical Imaging Techniques Such As Magnetic Resonance Imaging And Computed Tomography Play A Vital Role In Disease Diagnosis And Treatment Planning. However, Medical Images Are Often Degraded By Noise Caused By Low Radiation Exposure, Patie...
A Novel Dense-Swish-CNN With Bi-LSTM Framework For Image Deepfake Detection
The Rapid Advancement Of Deep Generative Models, Particularly Generative Adversarial Networks (GANs) And Diffusion-based Architectures, Has Substantially Lowered The Barrier To Producing Photorealistic Synthetic Human Faces, Collectively Re...
Seasonal Variations Of Water Parameters In Hadapsar Region
The Study On Seasonal Variations Of Water Parameters In Hadapsar Analyzes Changes In PH, Turbidity, Total Hardness, And Dissolved Solids Across Summer, Monsoon, And Winter Seasons. Results Indicate Higher Turbidity During Monsoon Due To...
Psychological Attack Surface Modeling Through Artificial Intelligence
Artificial Intelligence (AI) Has Emerged As A Crucial Element In Contemporary Cyber Security Frameworks, Facilitating Automated Threat Detection, Predictive Analytics, And Adaptive Defense Strategies. Nonetheless, The Deployment Of AI-drive...
Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...
Quercetin As A Natural Antiviral Agent Against COVID-19 Bioavailability Challenges And Nanoformulation Approaches.
The Urgent Search For Potent Antiviral Drugs Has Been Spurred By The Worldwide Effects Of COVID-19. A Powerful Natural Substance With Antiviral, Anti-inflammatory, And Immunomodulatory Qualities Is Quercetin, A Polyphenol Obtained From Plan...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...
THE IMPACT OF COLD CHAIN LOGISTICS AT SARVAM LOGISTICS
Cold Chain Logistics Is A Vital Component In Industries Dealing With Temperature-sensitive Products Such As Pharmaceuticals, Frozen Foods, And Chemicals. This Study Explores The Operational And Strategic Importance Of Cold Chain Logistics U...