Results 131 to 140 of about 83,073 (313)
Review and Empirical Analysis of Machine Learning-Based Software Effort Estimation
IEEE AccessThe average software company spends a huge amount of its revenue on Research and Development (R&D) for how to deliver software on time. Accurate software effort estimation is critical for successful project planning, resource allocation, and on ...
Mizanur Rahman +4 more
doaj +1 more source
Clinical Validation of Plasma p‐217tau in Neurological Diseases
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma p‐217tau is a minimally invasive but specific biomarker for diagnosing Alzheimer's disease (AD). However, its disease specificity remains to be clinically evaluated. We validated the reliability of the p‐217tau biomarker in 12 other neurological diseases.
Takeshi Kawarabayashi +13 more
wiley +1 more source
software effort estimation model based on use case specification
, 2011 Software effort estimation is essential for the project planning. Use case is widely used to capture and describe the requirements of customers and used as an index of software measurement and estimation.
Yang Ye, Chen Xinguang, Shu Fengdi
core
Software Effort Estimation Using Neural Network Ensemble
, 2015 Accurate software effort estimation is crucial for software consulting organizations to stay competitive in their software development costs and retain customers.
Subramanian, Girish H. +2 more
core +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
A software testing estimation and process control model [PDF]
, 1998 The control of the testing process and estimation of the resource required to perform testing is key to delivering a software product of target quality on budget.
Archibald, Colin J.
core
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Reliability and validity in comparative studies of software prediction models
, 2005 Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood.
I. Myrtveit +5 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source