Author:Adeoye Ibrahim

Keyphrases

3D human pose estimation, adaptation techniques, Advanced Persistent Threats (APTs), AI-driven Personalization, AI-driven personalization strategies, AI-driven testing, AI-driven tools, AI explainability, AI Interpretability, AI Transparency, anomaly detection, Apache Cassandra, Apache Kafka, APT detection, Artificial Intelligence², Artificial Intelligence (AI)⁴, Artificial Intelligence., Augmented Reality, Authentication, Authorization, automated decision-making, automated testing, Azerbaijan, Banking risk management, Banking Systems, behavioral analytics, Benchmark Datasets, Biology², black-box models, bug reduction, business growth, business sustainability and growth, climate-aware features, Climate variability, computer vision², computing, Conservative treatment, Convolutional Neural Networks (CNNs), credit default prediction, Credit Risk Management, Customer Relationship Management (CRM), Customer Segmentation, Cybersecurity², data augmentation, data-driven customer segmentation, data privacy, data scarcity, Data Security, decision making², deep learning, digital artifacts, digital ethics, digital interpretation, Digital transactions, Domain Adaptation, Domain Generalization, domain shift, early bug detection., economic impact, economic welfare, ecosystem, emotional awareness, Emotional Intelligence, Encryption, ensemble methods², Environmental Science², Epidural Steroid Injections, ethical considerations., Event Streaming, Evolutionary Algorithms, Explainable AI (XAI), extreme weather events, feature engineering, Financial, Financial Crime, Financial Forecasting, Financial Risk Management, Financial Technology, fraud detection, Geometric Augmentation, Glass Box Models, Grid Management, harnessing AI, Harnessing AI in Higher Education, hierarchical clustering, Human Factors, human judgment, Human Pose Detection, human pose estimation, interactive technologies, Interventional Techniques, labeled data, leverage Salesforce's AI capabilities, low back pain, machine learning⁸, Machine Learning (ML), Machine Learning Models, Machine Learning-Powered Churn Analysis, Market Fragmentation, Mitigating Risks, model generalization, Model Interpretability, Model Interpretation, model performance, Model Robustness, neural networks³, Neuro-Evolutionary Methods, non-tariff barriers, NoSQL, Pain Management, Pain relief, Photometric Augmentation, pose detection, pose estimation, Predictive Analytics³, Predictive Patterns in Customer Behavior, Psychological Manipulation., quality assurance, real-time data processing, Regulatory Compliance, regulatory cooperation, Regulatory Divergence, Reinforcement Learning, renewable energy forecasting, risk assessment², Salesforce, Salesforce Capabilities, Secure Data Transmission, security awareness, Shaping Tomorrow's Learning, Social Engineering, software development, software quality, Spinal Disorders, Spinal Injections, SUCKERFISH, supervised learning, Supervised Machine Learning, Support Vector Machines, sustainable energy systems, Synthetic Data Generation, Targeted Marketing, Technological Affordances, technology design, test coverage, Therapeutic interventions, Trade Policy, Transfer Learning², treatment efficacy, understanding and mitigating customer churn, unsupervised domain adaptation, unsupervised learning, US-EU Trade, user-centric approaches, user experience, Value Construction, virtual economy, • Advanced Driver Assistance Systems (ADAS), • Conventional Automotive Systems, • Energy Consumption, • Environmental Impact, • Fuel Efficiency, • Greenhouse Gas Emissions, • Lifecycle Analysis.