Results 241 to 250 of about 1,791,426 (298)

Informing agent-based models with spatial data using convolutional autoencoders. [PDF]

Bioinformatics
Wang BR, Liao CY, Danen EHJ, Neubert E, Eduati F.   +4 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

SegJointGene: joint cell segmentation and spatial gene prioritization by information entropy guided convolutional neural networks. [PDF]

Bioinformatics
Ma H, Wang D.
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

T-pGNN4DTI: Towards better drug-target interactions prediction using Global Self-attentive Pooled Graph Convolutional Networks and protein pre-training Models. [PDF]

PLoS One
Lin Y, Yang B, Liao J, Du C, Cai H, Wu Y, Peng Y.   +6 more
europepmc   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

Automated seaweed species classification using deep learning and large language models. [PDF]

Sci Rep
Sami M, Ahmed F.
europepmc   +1 more source

miRBind2 enables sequence-only prediction of miRNA binding and transcript repression. [PDF]

Bioinformatics
Čechák D, Tzimotoudis D, Sammut S, Gresova K, Marsalkova E, Farrugia D, Alexiou P.   +6 more
europepmc   +1 more source

Quantum convolutional HLA immunogenic peptide prediction (Q-CHIPP): Next-generation neoantigen prediction with quantum neural network. [PDF]

Sci Adv
Peters R, Rhrissorrakrai K, Bangalore Parthasarathy P, Ratner V, Gujarati TP, Tolunay M, Shi J, Weber JK, Chan TA, Parida L, Capponi S, Utro F, Alban TJ.   +12 more
europepmc   +1 more source