Software defect prediction based on nested-stacking and heterogeneous feature selection

L Chen, C Wang, S Song - Complex & Intelligent Systems, 2022 - Springer
Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …

The role of artificial intelligence in male infertility: evaluation and treatment: a narrative review

N Venishetty, M Alkassis, O Raheem - Uro, 2024 - mdpi.com
Male infertility has affected an increasingly large population over the past few decades,
affecting over 186 million people globally. The advent of assisted reproductive technologies …

Physical activity monitoring and classification using machine learning techniques

SA Alsareii, M Awais, AM Alamri, MY AlAsmari, M Irfan… - Life, 2022 - mdpi.com
Physical activity plays an important role in controlling obesity and maintaining healthy living.
It becomes increasingly important during a pandemic due to restrictions on outdoor …

Artificial Intelligence for Clinical Management of Male Infertility, a Scoping Review

N Naik, B Roth, SD Lundy - Current Urology Reports, 2025 - Springer
Abstract Purpose of Review Infertility impacts one in six couples worldwide, with male
infertility contributing to approximately half of these cases. However, the causes of infertility …

[HTML][HTML] Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency

Y Hew, D Kutuk, T Duzcu, Y Ergun, M Basar - Biology, 2024 - mdpi.com
Incorporating artificial intelligence (AI) into in vitro fertilization (IVF) laboratories signifies a
significant advancement in reproductive medicine. AI technologies, such as neural networks …

SYSTEMATIC LITERATURE REVIEW OF THE CLASS IMBALANCE CHALLENGES IN MACHINE LEARNING

R Fitriadi, D Mahdiana - Jurnal Teknik Informatika (Jutif), 2023 - jutif.if.unsoed.ac.id
The significant growth of data poses its own challenges, both in terms of storing, managing,
and analyzing the available data. Untreated and unanalyzed data can only provide limited …

Biopsychosocial Characterization of Cognitive Decline and Late-Life Depression Trajectories Using Bayesian Consensus Clustering and Machine Learning

M Yang - 2023 - search.proquest.com
Cognitive decline and late-life depression (LLD) often co-occur and impact elderly's
wellbeing. However, their intersection and antecedents are understudied. We analyzed …

[PDF][PDF] Prediction of poor health in small ruminants and companion animals with accelerometers and machine learning

AX Montout - 2023 - research-information.bris.ac.uk
Global warming is one of the biggest challenge of our times, and significant efforts are being
undertaken by academics, industries and other actors to tackle the problem. In the …

PREPARATION OF ELECTROSPUN COATED THIN FILM EXTRACTION DEVICES FOR DETERMINATION OF CLINICALLY IMPORTANT ENDOGENOUS …

ER TEMEL - 2022 - open.metu.edu.tr
Changes in plasma concentrations of endogenous compounds such as cholesterol and
steroid hormones may cause many vital problems threatening human life. Therefore, the …

[PDF][PDF] EFFECTS OF SILDENAFIL ON THE TESTES OF THE NONDIABETIC AND DIABETIC ADULT ALBINO RATS (Light and Electron Microscopic Study)

ESES Jahin, M Al-Jizawi… - Al-Azhar International …, 2022 - aimj.journals.ekb.eg
Background: Sildenafil citrate is effective in men with erectile dysfunction. Sildenafil induces
degenerative changes in seminiferous tubules and interstitial histological alterations …