Understanding how humans interact with objects in complex visual scenes is fundamental to human-centric artificial intelligence. Yet, current Human-Object Interaction (HOI) detection frameworks often falter when faced with visual occlusions, vague interaction semantics, and scenarios that extend beyond predefined categ...
A. Abdusalomov, Utkir Xudoynazarov, U. Ruziev et al.· Scientific Reports· 0 citations
: The left ventricular ejection fraction (LVEF) is one of the most important quantitative indicators in cardiovascular medicine. It serves as a key measure for diagnosing, assessing risk, and guiding treatment decisions in conditions such as heart failure, cardiomyopathies, and coronary artery disease. However, obtaini...
Fazliddin Makhmudov, Jamshid Khamzaev, Jakhongir Karimberdiyev et al.· Computer Modeling in Enginee...· 0 citations
: Wireless sensor networks (WSNs) and Internet of Things (IoT) systems require lightweight cryptographic primitives that provide strong security under strict constraints on area, latency, and timing predictability. Ascon, selected by National Institute of Standards and Technology (NIST) as the standard for lightweight...
Kuldashbay Avazov, J. Sevinov, Komil Tashev et al.· Computers, Materials & C...· 0 citations
A multilayer anomaly detection and mitigation framework for Software-Defined Networking environments consisting of four integrated subsystems that demonstrate quantifiable improvements over single-paradigm approaches in detection fidelity, response latency, resource efficiency, and privacy compliance.
A ResNet-18–Transformer landmark-guided module called SE-POSTER that fuses lightweight Squeeze-and-Excitation attention modules into the multi-scale feature pyramid of the baseline POSTER architecture that is capable of steadily boosting recognition accuracy relative to the baseline POSTER and several state-of-the-art...
Alpamis Kutlimuratov, K. Sharipov, Piratdin Allayarov et al.· Informatics· 0 citations
NEO-STREAM, a compliance-aware transformer-based framework for real-time fraud detection that employs micro-episode tokenization to capture short-term behavioral patterns without relying on long-term user histories, indicates that compliance-aware AI architectures can effectively bridge the gap between predictive perfo...
A. Abdusalomov, Alpamis Kutlimuratov, Cüneyt Şamil Oğurlu· 0 citations
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