LNCRI: Long Non-Coding RNA Identifier in Multiple Species حسب Saleh Musleh (15279190)

"…However, the cost and time-consuming nature of transcriptomics verification techniques barred the research community from focusing on lncRNA identification. …"

Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem حسب Assaker, Guy

"…The research note is presented in two parts: Part A presents an overview of REBUS, including its development, algorithm, and its primary functions. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model حسب Ramesh Sundar (19326046)

"…In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam forming model based on mmWave logics, as well as training logic for the network map functions. The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …"

Intelligent route to design efficient CO₂ reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

"…The development of such technology is strongly depended upon tuning the surface properties of the applied electrocatalysts. Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …"

Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining حسب Mohammadjafar Hadad (21142499)

"…To evaluate a robust algorithm, a method is devised that involves different networks utilizing various activation functions and neuron sizes to distinguish and select the best architecture for this study. …"

Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques حسب Kais Abdulmawjood (17947784)

"…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …"

Wiener-Hammerstein Model Identification-Recursive lgorithms حسب Emara-Shabaik, Husam

"…These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. …"
احصل على النص الكامل

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

"…This is done through diagnosing and treating illness or injury as soon as feasible to stop or delay its course, supporting personal ways to avoid recurrence or reinjury, and implementing programs to restore individuals to their previous health and function to prevent long-term difficulties. …"

ELISSAR. (c1997) حسب Nasreddine, Diana M.

احصل على النص الكامل
احصل على النص الكامل

Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling حسب Armin, Amindari

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms حسب Sadhukhan, Payel

"…Privacy and security of data and models are fundamental necessities that must be satisfied for this protocol's proper functioning. To this end, we propose a conceptual and algorithmic framework of a model obfuscation scheme. …"
احصل على النص الكامل
احصل على النص الكامل

Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling حسب Amindari, Armin

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes حسب Radhakrishnan Vishnubalaji (3563306)

"…., immune cells and stromal cells) within the tumor microenvironment. In the current study, we employed computational algorithms to decipher the cellular composition of estrogen receptor-positive (ER⁺), HER2⁺, ER⁺HER2⁺, and triple-negative BC (TNBC) subtypes from a total of 49,899 single cells’ publicly available transcriptomic data derived from 26 BC patients. …"

Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB حسب Alice AbdelAleem (17753799)

"…Sanger sequencing verified the segregation of the two recessive gene variants with the phenotype in family members. The prediction algorithms support the pathogenicity of these variants. …"

Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review حسب Yazeed Yasin Ghadi (16667109)

"…Moreover, this study also addresses issues of adapting machine learning algorithms to accommodate the sensors’ functionalities in the network configuration. …"

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…<h3>Background</h3><p dir="ltr">Existing BRCA2-specific variant pathogenicity prediction algorithms focus on the prediction of the functional impact of a subtype of variants alone. …"

Decision-level fusion for single-view gait recognition with various carrying and clothing conditions حسب Al-Tayyan, Amer

"…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …"
احصل على النص الكامل

Decision-level Gait Fusion for Human Identification at a Distance حسب Al-Tayyan, Amer

احصل على النص الكامل