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[Related PubMed/MEDLINE]
Total Number of Papers: 1255
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| Abbreviation |
: ANNs |
| Long Form |
: artificial neural networks |
|
| No. |
Year |
Title |
Co-occurring Abbreviation |
| 1 |
2021 |
AI-Based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases. |
AI, EFuNN, SNN |
| 2 |
2020 |
3D Stackable Synaptic Transistor for 3D Integrated Artificial Neural Networks. |
--- |
| 3 |
2020 |
A biohybrid synapse with neurotransmitter-mediated plasticity. |
--- |
| 4 |
2020 |
A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule. |
bio-plausible, SL, SNNs, sym-STDP, t-SNE |
| 5 |
2020 |
A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition. |
CNNs, DL, HAR, ML, RNNs |
| 6 |
2020 |
A Data-Driven Damage Identification Framework Based on Transmissibility Function Datasets and One-Dimensional Convolutional Neural Networks: Verification on a Structural Health Monitoring Benchmark Structure. |
ASCE, FFT, TFs, TS |
| 7 |
2020 |
A machine learning algorithm to improve building performance modeling during design. |
BPMs, IVEs |
| 8 |
2020 |
A machine learning based prediction system for the Indian Ocean Dipole. |
IOD, NMME, RMSE |
| 9 |
2020 |
A Nested Ensemble Approach with ANNs to Investigate the Effect of Socioeconomic Attributes on Active Commuting of University Students. |
--- |
| 10 |
2020 |
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. |
F-MLP |
| 11 |
2020 |
A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue. |
FE, PGD |
| 12 |
2020 |
A Review on the Use of Artificial Intelligence in Spinal Diseases. |
--- |
| 13 |
2020 |
Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network. |
NIR |
| 14 |
2020 |
Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach. |
BLF, DNNs, SGUUB |
| 15 |
2020 |
Adsorption of tetracycline antibiotic onto modified zeolite: Experimental investigation and modeling. |
ANFIS, MZ, TC |
| 16 |
2020 |
Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture. |
AI, FR, GA, OA, SVMs |
| 17 |
2020 |
Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors. |
--- |
| 18 |
2020 |
Application of Electrospray in Preparing Solid Lipid Nanoparticles and Optimization of Nanoparticles Using Artificial Neural Networks. |
SLNs |
| 19 |
2020 |
Application of machine learning to predict monomer retention of therapeutic proteins after long term storage. |
Tm |
| 20 |
2020 |
Application of Multiple Linear Regression and Artificial Neural Networks for the Prediction of the Packing and Capsule Filling Performance of Coated and Plain Pellets Differing in Density and Size. |
CFW, FWV, MBP, MLR, OBD |
| 21 |
2020 |
Application of soft computing to predict water quality in wetland. |
AN, ANFIS, BOD, COD, DO, GMDH, SS, WQI |
| 22 |
2020 |
Applications of neural networks in urology: a systematic review. |
--- |
| 23 |
2020 |
Artificial intelligence and neural networks in urology: current clinical applications. |
AI, ML |
| 24 |
2020 |
Artificial intelligence driven next-generation renal histomorphometry. |
--- |
| 25 |
2020 |
Artificial neural network analysis of bone quality DXA parameters response to teriparatide in fractured osteoporotic patients. |
BMD, BSI, HSA, SDI, TBS |
| 26 |
2020 |
Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI. |
CNN, MLP, SEMAC |
| 27 |
2020 |
Artificial Neural Networks (ANNs) and Partial Least Squares (PLS) Regression in the Quantitative Analysis of Respirable Crystalline Silica by Fourier-Transform Infrared Spectroscopy (FTIR). |
FTIR, PLS, RCS |
| 28 |
2020 |
Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy. |
cSCC, Gy |
| 29 |
2020 |
Artificial Neural Networks Applied as Molecular Wave Function Solvers. |
BM, CASCI, NQS, RBM |
| 30 |
2020 |
Artificial Neural Networks for Neuroscientists: A Primer. |
--- |
| 31 |
2020 |
Artificial neural networks for quantitative online NMR spectroscopy. |
NMR, PAT |
| 32 |
2020 |
Artificial Neural Networks in Computer-Aided Drug Design: An Overview of Recent Advances. |
CADD |
| 33 |
2020 |
Artificial neural networks in neurorehabilitation: A scoping review. |
--- |
| 34 |
2020 |
Assessing the Big Five personality traits using real-life static facial images. |
--- |
| 35 |
2020 |
Asynchronous multi-decadal time-scale series of biotic and abiotic responses to precipitation during the last 1300years. |
EASM, PqPann |
| 36 |
2020 |
Attribute selection using correlations and principal components for artificial neural networks employment for landslide susceptibility assessment. |
DEM, PCs |
| 37 |
2020 |
Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning. |
SoC, STDP |
| 38 |
2020 |
Circadian Phase Prediction from Non-Intrusive and Ambulatory Physiological Data. |
CBT, DLMO |
| 39 |
2020 |
Comparing an Artificial Neural Network to Logistic Regression for Predicting ED Visit Risk Among Patients With Cancer: A Population-Based Cohort Study. |
ED, LR |
| 40 |
2020 |
Complete Nuclear Permutation Inversion Invariant Artificial Neural Network (CNPI-ANN) Diabatization for the Accurate Treatment of Vibronic Coupling Problems. |
CNPI, CNPI-ANN, PESs |
| 41 |
2020 |
Conductive-bridging random-access memories for emerging neuromorphic computing. |
CBRAMs, CMOS |
| 42 |
2020 |
Coupled artificial neural networks to estimate 3D whole-body posture, lumbosacral moments, and spinal loads during load-handling activities. |
IDPs |
| 43 |
2020 |
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off. |
BCI, CNNs, EEG, FFNNs, RNNs |
| 44 |
2020 |
Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation. |
ABC, SNPs |
| 45 |
2020 |
Deep learning in next-generation sequencing. |
DL, ML, NGS |
| 46 |
2020 |
Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments-The Wastewater Treatment Plant Control Case. |
ANN-based IMC, IAE, ISE, WWTP |
| 47 |
2020 |
Detection of subjects with ischemic heart disease by using machine learning technique based on heart rate total variability parameters. |
HRV, IHD, LVEF |
| 48 |
2020 |
Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database. |
AUC, LR, VTE |
| 49 |
2020 |
Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer. |
AUC, LR |
| 50 |
2020 |
Dissolved oxygen prediction using a new ensemble method. |
ANFIS, BMA, CART, ELM, MLR, RMSE, WQ |
| 51 |
2020 |
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques. |
ASD, DWT, EEG, ICA, KNN, LBP, LDA, SE, SVM |
| 52 |
2020 |
Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks. |
SNNs |
| 53 |
2020 |
Emerging imaging techniques for acute pancreatitis. |
AP |
| 54 |
2020 |
Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures. |
SNNs |
| 55 |
2020 |
Estimation of glandular dose in mammography based on artificial neural networks. |
MC, MGD |
| 56 |
2020 |
Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. |
CGC |
| 57 |
2020 |
Event-Based Computation for Touch Localization Based on Precise Spike Timing. |
SNNs |
| 58 |
2020 |
Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation. |
--- |
| 59 |
2020 |
Expression profiling of small intestinal neuroendocrine tumors identified pathways and gene networks linked to tumorigenesis and metastasis. |
DEGs, GSEA, KEGG, LM, SI-NETs |
| 60 |
2020 |
Gate-Tunable Synaptic Dynamics of Ferroelectric-Coupled Carbon-Nanotube Transistors. |
--- |
| 61 |
2020 |
Gelatin nanoparticles for NSAID systemic administration: Quality by design and artificial neural networks implementation. |
ANN, CCD, DLC, FTIR, GNs, XRD |
| 62 |
2020 |
Human thermal sensation over a mountainous area, revealed by the application of ANNs: the case of Ainos Mt., Kefalonia Island, Greece. |
PET |
| 63 |
2020 |
Implementing Any Nonlinear Quantum Neuron. |
--- |
| 64 |
2020 |
Improvement of the performances of a commercial hand-held laser-induced breakdown spectroscopy instrument for steel analysis using multiple artificial neural networks. |
--- |
| 65 |
2020 |
Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks. |
ReLU |
| 66 |
2020 |
Intelligent-assistant system for scleral spur location. |
--- |
| 67 |
2020 |
Investigating mechanical properties and biocement application of CaCO3 precipitated by a newly-isolated Lysinibacillus sp. WH using artificial neural networks. |
CaCl2, VRH |
| 68 |
2020 |
Investigation of singular ordinary differential equations by a neuroevolutionary approach. |
FO-DPSO |
| 69 |
2020 |
Leaf Biochemistry Parameters Estimation of Vegetation Using the Appropriate Inversion Strategy. |
Cab, Car, EWT, FW, LMA, PCA |
| 70 |
2020 |
Learning partial differential equations for biological transport models from noisy spatio-temporal data. |
Fisher-KPP, PDE |
| 71 |
2020 |
Machine Learning on Mainstream Microcontrollers. |
DT, ELM, KNN, SVM |
| 72 |
2020 |
Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state-of-art applications. |
CNNs, RNNs |
| 73 |
2020 |
Machine Learning Technology Reveals the Concealed Interactions of Phytohormones on Medicinal Plant In Vitro Organogenesis. |
BAP, IAA, ML |
| 74 |
2020 |
Machine learning-based development and validation of a scoring system for progression-free survival in liver cancer. |
AUROC, HCC, HRs, OS, PFS |
| 75 |
2020 |
Memristor-based LSTM network with in situ training and its applications. |
CNN, LSTM, MbLSTM |
| 76 |
2020 |
Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks. |
ML, PLS-DA |
| 77 |
2020 |
Modeling the degradation and disinfection of water pollutants by photocatalysts and composites: A critical review. |
CW, L-H, ROS, RSM |
| 78 |
2020 |
Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique. |
CS, DE, IFT |
| 79 |
2020 |
Modelling traffic noise in a wide gradient interval using artificial neural networks. |
--- |
| 80 |
2020 |
Molecular and DNA Artificial Neural Networks via Fractional Coding. |
ANN, ReLU |
| 81 |
2020 |
Multi-volume modeling of Eucalyptus trees using regression and artificial neural networks. |
--- |
| 82 |
2020 |
Neural Networks Multiobjective Learning With Spherical Representation of Weights. |
--- |
| 83 |
2020 |
NMR Calculations with Quantum Methods: Development of New Tools for Structural Elucidation and Beyond. |
--- |
| 84 |
2020 |
On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices. |
GSDs, LTD, LTP, SNNs |
| 85 |
2020 |
Online ANN-based fault diagnosis implementation using an FPGA: Application in the EFI system of a vehicle. |
ELM, FDD, GD, LM |
| 86 |
2020 |
Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome. |
AUC, ML, MLPs, mRS |
| 87 |
2020 |
Optimization of fungi co-fermentation for improving anthraquinone contents and antioxidant activity using artificial neural networks. |
BP, RBF |
| 88 |
2020 |
Optimization of the silica-gel adsorption technique for the extraction of phytosterol glycosides from soybean lecithin powder using response surface methodology and artificial neural network models. |
ASGs, PGs, RSM, SGs |
| 89 |
2020 |
Prediction of Degreening Velocity of Broccoli Buds Using Hyperspectral Camera Combined with Artificial Neural Networks. |
--- |
| 90 |
2020 |
Prediction of malaria transmission drivers in Anopheles mosquitoes using artificial intelligence coupled to MALDI-TOF mass spectrometry. |
MALDI-TOF, MS |
| 91 |
2020 |
Prediction of perioperative transfusions using an artificial neural network. |
--- |
| 92 |
2020 |
Prediction of the performance of artificial neural networks in mapping sEMG to finger joint angles via signal pre-investigation techniques. |
--- |
| 93 |
2020 |
Relative importance of clinical and sociodemographic factors in association with post-operative in-hospital deaths in colorectal cancer patients in New South Wales: An artificial neural network approach. |
--- |
| 94 |
2020 |
Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO2-P25: optimization and modeling approach. |
AARE, AO7, MAD, MSE, RMSE, RSM, TNPs |
| 95 |
2020 |
Rethinking the performance comparison between SNNS and ANNS. |
SNNs |
| 96 |
2020 |
Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions. |
SCO |
| 97 |
2020 |
Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot. |
SNNs, STDP |
| 98 |
2020 |
Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets. |
BP, SNNs, ST-DFA |
| 99 |
2020 |
The application of artificial neural networks in modeling and predicting the effects of melatonin on morphological responses of citrus to drought stress. |
GRNN, MLP, NSGA-II, RBF |
| 100 |
2020 |
The relationship between air pollution and COVID-19-related deaths: An application to three French cities. |
COVID-19, ML, PM, PM2.5 |
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