Author:Alakitan Samad

Publications
Assessing the Environmental Impact of Advanced Driver Assistance Systems (ADAS) in Electric Vehicles: a Sustainability Perspective Alakitan Samad EasyChair Preprint 14884
High-Speed 4.68Gb/s Polar Decoder with Bit-Split Registers Using Belief Propagation Alakitan Samad EasyChair Preprint 14874
Domain-Adaptive Human Pose Estimation Without Source Data Alakitan Samad EasyChair Preprint 14843
Autocorrelated Kriging-Based Predictions for System Reliability Evaluation Alakitan Samad EasyChair Preprint 14790
Assessing the Role of Sports Management in Post-Injury Care and Rehabilitation of College Football Players with Concussions Alakitan Samad EasyChair Preprint 14721
AI and Machine Learning for Advanced Persistent Threat Detection in Finance: Towards Higher Accuracy and Better Protection Alakitan Samad EasyChair Preprint 14635
Revolutionizing Mobile Sensor Data Authentication with Finance AI and Advanced Deep Learning Techniques Alakitan Samad EasyChair Preprint 14629
"Comparative Analysis of Time-Series Supervised Learning Models for Predicting Solar and Wind Energy Outputs" Alakitan Samad EasyChair Preprint 14449
"Machine Learning-Driven Renewable Energy Forecasting and Bio-Inspired Smart Grid Design for Sustainable Energy Management" Alakitan Samad EasyChair Preprint 14426
AI-Driven Optimization Techniques for Enhanced Risk Management in Global Banking Alakitan Samad EasyChair Preprint 14356
"Data Consistency and Replication Strategies in Cassandra and Kafka Ecosystems" Alakitan Samad EasyChair Preprint 13862
Social Engineering in Cybersecurity: Prevention and Mitigation Strategies Alakitan Samad EasyChair Preprint 13857

Keyphrases

5G communication, Advanced Persistent Threats (APTs), adversarial attacks², Adversarial Learning, AI-driven optimization, algorithmic transparency., anomaly detection, Apache Cassandra, Apache Kafka, Artificial Intelligence (AI), Autocorrelated Kriging, belief propagation, Big Data, bit-splitting, climate change mitigation, CNN (Convolutional Neural Networks), cognitive biases, college football, Concussion rehabilitation, Cybersecurity², Data Autocorrelation, data consistency, Data Integrity, data privacy, data throughput, Deception, Deep Learning in Energy Systems, Deep Learning Models, distributed systems, Domain Adaptation, emotional manipulation, Energy Forecasting, Energy Output Prediction, engineering systems, entropy minimization, error-correcting codes, eventual consistency, Explainable AI, Explainable AI (XAI), failure prediction, fault tolerance, Feature Alignment, Financial Sector, financial stability, Genetic Algorithms (GA), Global Banking, GRU (Gated Recurrent Unit), high-speed decoding, Human Factors, Human Pose Estimation (HPE), Hybrid Authentication Systems, Hybrid LSTM-CNN, hybrid machine learning, IoT Security, low latency decoding, LSTM (Long Short-Term Memory), LSTM networks, machine learning², Machine Learning (ML), maintenance optimization, Mobile Sensor Data Authentication, model generalization, multidisciplinary approach, Natural Language Processing, nature-inspired algorithms, Particle Swarm Optimization (PSO), Polar decoder, post-injury care, power efficiency, predictive modeling, pseudo-labeling, psychological mechanisms, Real-time Data Assimilation, real-time processing², recovery protocols., Register File, Reinforcement Learning, reliability assessment, renewable energy forecasting, Renewable Energy Prediction, Replication strategies, risk management, self-supervised learning, Smart Grid Optimization, social dynamics, Social Engineering, Solar Energy Prediction, Source-Free Adaptation, Sports Management, Supervised Learning Models, Surveillance Footage, sustainable energy systems, system reliability, Threat Detection, time series analysis, Time Series Forecasting, Transfer Learning, Trust, Variogram Analysis, Wind Energy Prediction, • Advanced Driver Assistance Systems (ADAS), • Conventional Automotive Systems, • Energy Consumption, • Environmental Impact, • Fuel Efficiency, • Greenhouse Gas Emissions, • Lifecycle Analysis.