Hybrid Graph Capsule Network Boosts Link Prediction Accuracy by 9.1 Percent
A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent improvement in link ...
A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent improvement in link ...
A new hybrid Pareto-safe distributional reinforcement learning scheduler balances latency, energy, SLA, and load balance in cloud task allocation while ...
Betel leaf is big business. Across Bangladesh, India, Thailand, and Malaysia, the crop of Piper betle L. covers roughly 55,000 ...
Supercapacitors occupy a peculiar middle ground in the energy storage world: they charge in seconds, survive hundreds of thousands of ...
A hybrid framework combining Transformer-based representation learning with beam search finds longer common subsequences across multiple DNA sequences, staying close ...
A hybrid deep learning framework called HLnet combines CNN frequency decomposition with Transformer attention to synthesize T1- and T2-weighted MRI ...
Ukrainian researchers report a hybrid CUDA execution method that accelerates wavelet-based MRI denoising to over 200 images per second while ...
A Turkish-Japanese team combined spinel-type λ-MnO2 adsorbent with submerged ultrafiltration to recover lithium from real geothermal fluids and RO concentrate, ...
A hybrid EEG–EMG decoder using a BiLSTM network triggered lower-limb exoskeleton assistance faster and more accurately than either signal alone ...
A hybrid wavelet-Fourier analysis in the FTIO tool pinpoints when periodic I/O phases are actually valid, cutting prediction error and ...
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© 2025 Scienmag - Science Magazine