-
201
A kernelization algorithm for d-Hitting Set
منشور في 2010"…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
202
A decentralized load balancing approach for parallel search-tree optimization
منشور في 2017"…We present experimental results that show notable improved running times on all types of input instances.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
203
ORAN: a basis for an Arabic OCR system
منشور في 2004احصل على النص الكامل
احصل على النص الكامل
article -
204
Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks
منشور في 2020"…The result shows that the speech-based approach can lead to significant improvements (1.57% absolute improvements) over a robust text baseline system.…"
احصل على النص الكامل
احصل على النص الكامل
-
205
-
206
-
207
Review Article Emotionally Intelligent Chatbots: A Systematic Literature Review
منشور في 2022"…Researchers are leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to impart emotional intelligence capabilities in chatbots. …"
احصل على النص الكامل
احصل على النص الكامل
-
208
Exploring Machine Learning Models to Predict Harmonized System Code
منشور في 2019"…Following this is the preparation of data for processing and the creation of the machine learning models. …"
احصل على النص الكامل
-
209
InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification
منشور في 2021"…<p dir="ltr">We present a shape processing framework for visual exploration of cellular nuclear envelopes extracted from microscopic images arising in histology and neuroscience. …"
-
210
BEMD-3DCNN-based method for COVID-19 detection
منشور في 2022"…The formed video is used as input for the 3DCNN model to classify and detect the COVID-19 virus. …"
-
211
-
212
-
213
A LINEAR-PROGRAMMING MODEL TO EVALUATE GAS AVAILABILITY FOR VITAL INDUSTRIES IN SAUDI-ARABIA
منشور في 2020"…Saudi Arabia has realized the huge potential in its natural gas resources and has therefore developed petrochemical industries which utilize the various gas components as their input. Natural gas is associated with oil production, a glut in the oil market reduces the oil production quota and hence the supply of gas (mainly methane and ethane) to these industries. …"
احصل على النص الكامل
article -
214
Iterative RBF neural networks as metamodels of stochastic simulations
منشور في 2017احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
215
The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach
منشور في 2021"…Such differences call for reviewing the PoS tagging methods to adapt social media texts. Furthermore, the lack of sufficiently large and diverse social media text corpora constitutes one of the reasons that automatic PoS tagging of social media content has been rarely studied. …"
احصل على النص الكامل
احصل على النص الكامل
-
216
-
217
Detection of central serous retinopathy using deep learning through retinal images
منشور في 2023"…This research proposes a deep learning-based CSR detection employing two imaging techniques: OCT and fundus photography. These input images are manually augmented before classification, followed by training of DarkNet and DenseNet networks through both datasets. …"
-
218
Artificial Intelligence based Chatbot for promoting Equality in High School Advising
منشور في 2023"…The model built by connecting the input data into embedding layer, and then the data fed into the LSTM layer with different number of neurons, then authors used sigmoid function for the output layer. …"
احصل على النص الكامل
احصل على النص الكامل
-
219
Stochastic P-type/D-type iterative learning control algorithms
منشور في 2003"…The optimal algorithm is based on minimizing the trace of the input error covariance matrix. The state disturbance, reinitialization errors and measurement errors are considered to be zero-mean white processes. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
220