Lightweight AI Network Reconstructs High-Resolution Images Under One Million Parameters
A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.
Tag: Cluster Computing
Replication Study Confirms LSTM Networks for IoT Intrusion Detection
A replication and extension study in Cluster Computing confirms that LSTM networks maintain high intrusion detection performance in IoT networks, ...
Chaotic fire hawk and pufferfish algorithm targets energy-aware resource allocation in B5G IoT networks
A simulation study in Cluster Computing reports that a hybrid chaotic fire hawk and pufferfish optimization algorithm lowered energy use ...
Dynamic Convolution Meets Continuous-Time Networks in New Intrusion Detection Model
Researchers report that a hybrid model combining dynamic convolution, a Kolmogorov-Arnold network and a closed-form continuous-time neural network outperformed classical ...
Simulations Show Smarter Backup Planning Cuts Cost and Delay at the Edge
Researchers have introduced RAPBS, a reliability-aware framework that places bidirectional service function chains in mobile edge computing using backup estimation, ...
Ensemble Machine Learning Helps Evolutionary Algorithms Track Changing Optimization Targets
A new ensemble machine learning-based prediction mechanism reinitializes evolutionary algorithm populations after environmental changes and achieved the best MIGD or ...
Hybrid domain adaptation method defends deep learning models against multi-targeted adversarial examples
Researchers report a hybrid adversarial domain adaptation method combining logit correlation and gradient randomization that improved accuracy by 2 to ...
Footstep Sounds Could Identify People, But Microphone Distance and Footwear Complicate It
An experimental study in Cluster Computing shows that footwear variety, microphone distance, and sample length shape how well people can ...
Hybrid Optimizer Lifts AraBERT Accuracy in Arabic Sentiment Analysis
A hybrid metaheuristic algorithm combining the Aquila Optimizer, the Sine Cosine Hyperbolic Optimizer, and opposition-based learning tuned eight hyperparameters of ...
Hybrid transformer framework detects DDoS attacks with high accuracy in benchmark tests
A hybrid framework called NEAT-ID combines evolutionary feature selection, attention-enhanced Transformers and wavelet-based temporal encoding to detect DDoS attacks with ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!