Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…Other highlights are (1) a novel set of easily available features for the prediction of the aforementioned clinical complications and (2) the use of data augmentation methods and model-scoring-based hyperparameter tuning to address the problem of class disproportionality, a common challenge in medical datasets and often the reason behind poor event prediction rate of various predictive models reported so far. …"

Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

"…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …"
احصل على النص الكامل

SDODV. (c2018) حسب Assi, Maram

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

DNA Base-Calling Techniques حسب Odeh, Fadi

احصل على النص الكامل

Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

"…We consider fault-tolerance to be an important network design aspect. We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …"
احصل على النص الكامل
احصل على النص الكامل

Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

"…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

On sensor selection in mobile devices based on energy, application accuracy, and context metrics حسب Taleb, Sireen

"…Continuously collecting sensor data on mobile devices helps in capturing important contextual information related to the user location, activity, and surrounding environment. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

FoGMatch حسب Arisdakessian, Sarhad

"…This results in an unfair situation wherein the needs of one of the parties are ignored in the scheduling process. To address this problem, we propose in this paper a multi-criteria intelligent IoT scheduling approach in fog computing environments using matching game theory. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam, Eljilany

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

Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

"…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

"…In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"

Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam Eljilany (14151588)

"…From the hospital's perspective, a cost-benefit analysis was conducted based on a 1-year decision-analytic follow-up model of the economic implications of using a pharmacogenetic algorithm vs standard of care in pre-operative warfarin management in the Hamad Medical Corporation, Qatar. …"

DAP: A dataset-agnostic predictor of neural network performance حسب Sui Paul Ang (18460605)

"…This task often must be repeated many times, especially when developing a new deep learning algorithm or performing a neural architecture search. …"

Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

"…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
احصل على النص الكامل

Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

"…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. The problem is solved using genetic algorithms that search within the feasible solution space. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles حسب Warren, Thomas

"…In the context of an analysis code, this approximation eliminates the need for discretizing the target as well as the need for a contact algorithm. Thus, this method substantially reduces the computer time and memory requirements. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Platoon Transitional Maneuver Control System: A Review حسب Sareh Badnava (16891374)

"…The most recent articles on platoon control maneuvers have been analyzed based on the proposed control algorithm, homogeneously or heterogeneously of platoon members, type of platoon maneuver, the aim of control problem, type of implementation, and used simulation tools. …"

Cross entropy error function in neural networks حسب Nasr, G.E.

"…The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Navigation and Control System for a Robot in Indoor/Outdoor Environments حسب Al Khatib, Ehab

احصل على النص الكامل

Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

"…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
احصل على النص الكامل
احصل على النص الكامل