136 publication(s) trouvée(s)
Article scientifique
The impact of ensemble learning on surgical tools classification during laparoscopic cholecystectomy
Abstract Laparoscopic surgery also know as minimally invasive surgery (MIS), is a type of surgical procedure that allows a surgeon …
Article scientifique
Diabetes emergency cases identification based on a statistical predictive model
Abstract Diabetes is a chronic metabolic disease which is characterized by a permanently high blood sugar level. A distinction is …
Article scientifique
Poisson logit hurdle model with associated factors of perinatal mortality in Ethiopia
Abstract Perinatal mortality is the total number of fetal death and early neonatal death. Perinatal mortality is a major public …
Article scientifique
A machine learning based credit card fraud detection using the GA algorithm for feature selection
Abstract The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit …
Article scientifique
Part of speech tagging: a systematic review of deep learning and machine learning approaches
Abstract Natural language processing (NLP) tools have sparked a great deal of interest due to rapid improvements in information and …
Article scientifique
Assessing survival time of heart failure patients: using Bayesian approach
Abstract Heart failure is a failure of the heart to pump blood with normal efficiency and a globally growing public …
Article scientifique
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Abstract As credit card becomes the most popular payment mode particularly in the online sector, the fraudulent activities using credit …
Article scientifique
Machine learning techniques to predict daily rainfall amount
Abstract Predicting the amount of daily rainfall improves agricultural productivity and secures food and water supply to keep citizens healthy. …
Article scientifique
Air-pollution prediction in smart city, deep learning approach
Abstract Over the past few decades, due to human activities, industrialization, and urbanization, air pollution has become a life-threatening factor …
Article scientifique
Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce
Abstract Distinguishing sequences are widely used in finite state machine-based conformance testing to solve the state identification problem. In this …
Article scientifique
IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Abstract Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. …
Article scientifique
Video block and FABEMD features for an effective and fast method of reporting near-duplicate and mirroring videos
Abstract Near-duplicate video content has taken the large storage space in the age of big data. Without respecting the copyright …
Article scientifique
Evaluation of different machine learning approaches and input text representations for multilingual classification of tweets for disease surveillance in the social web
Abstract Twitter and social media as a whole have great potential as a source of disease surveillance data however the …
Article scientifique
Deep learning for emotion analysis in Arabic tweets
Abstract Currently, expressing feelings through social media requires great consideration as an essential part of our lives; besides sharing ideas …
Article scientifique
A survey on missing data in machine learning
Machine learning has been the corner stone in analysing and extracting information from data and often a problem of missing …
Article scientifique
An LSTM and GRU based trading strategy adapted to the Moroccan market
Forecasting stock prices is an extremely challenging job considering the high volatility and the number of variables that influence it …
Article scientifique
Towards more efficient CNN-based surgical tools classification using transfer learning
Abstract Context-aware system (CAS) is a system that can understand the context of a given situation and either share this …
Article scientifique
An empirical study on the evaluation of the RDF storage systems
Abstract In this paper, we introduce three new implementations of non-native methods for storing RDF data. These methods named RDFSPO, …
Article scientifique
Time series modeling of road traffic accidents in Amhara Region
Abstract Road traffic accidents (RTA) are commonly encountered incidents that can cause injuries, death, and property damage to members of …
Article scientifique
A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem
Abstract To address the challenges of big data analytics, several works have focused on big data optimization using metaheuristics. The …