Predictive analysis of concrete tensile strength using metaheuristic algorithms helping a neural network
Abstract In most construction projects, concrete is a widely used material in different structural elements due to its suitable mechanical…
artificial neural networking
Aggregating multimodal cancer data across unaligned embedding spaces maintains tumor of origin signal
Abstract AI based embeddings offer the possibilities of encoding complex biological data into low dimensional spaces, called embedding spaces, that…
UV Hyperspectral Imaging with Xenon and Deuterium Light Sources: Integrating PCA and Neural Networks for Analysis of Different Raw Cotton Types
Abstract Ultraviolet (UV) hyperspectral imaging shows significant promise for the classification and quality assessment of raw cotton, a key material…
Extraction Optimization of Quercus cerris L. Wood Chips: A Comparative Study between Full Factorial Design (FFD) and Artificial Neural Network (ANN)
Abstract From a circular bio-economy perspective, biomass valorization requires the implementation of increasingly efficient extraction techniques to ensure the environmental…
meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles
Abstract Background: Identification of the cancer subtype plays a crucial role to provide an accurate diagnosis and proper treatment to…
Identification of non-coding RNA related prognosis biomarkers based on ceRNA network in thyroid cancer
Abstract Introduction: Thyroid cancer (THCA) has become a serious malignant tumor worldwide. Identification of non-coding RNA related regulators is very…
Whole proteome mapping of compound-protein interactions
Abstract Off-target binding is one of the primary causes of toxic side effects of drugs in clinical development, resulting in…
CancerNet: a unified deep learning network for pan-cancer diagnostics
Abstract Background: Despite remarkable advances in cancer research, cancer remains one of the leading causes of death worldwide. Early detection…
Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use
Abstract Marijuana is the most commonly abused drug for military personnel tested at the Air Force Drug Testing Laboratory. A…
A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data
Abstract Sequencing-based identification of tumor tissue-of-origin (TOO) is critical for patients with cancer of unknown primary lesions. Even if the…