Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models DOI
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar

et al.

Published: Sept. 14, 2023

Hyperparameter tuning is a crucial step in the process of building accurate machine learning models. Finding optimal combination hyperparameters can be challenging, especially complex models with large hyperparameter spaces. Genetic algorithms (GAs) have become popular approach to address this challenge by efficiently exploring space and selecting best combination. In paper, different are used along genetic search for prediction multi-diseases. The purpose using algorithm optimize hyper-parameters. Based upon evaluations we come know which performed well after hyper-parameter optimization meta heuristic optimization.

Language: Английский

Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives DOI
Komalpreet Kaur, Charanjit Singh,

Yogesh Kumar

et al.

Published: Dec. 14, 2022

Congenital infections, disorders, or diseases occur when pregnant women get infected with an organism that further enters into their placenta and fetus after entering bloodstream. Such conditions may affect newborn infants unborn fetuses need to be cured by early prediction. In the field of medicine, better high-performance prediction is achieved using Artificial intelligence. It a broad area science for simulating natural intelligence established animals humans through machine learning. this paper, we have given overview AI algorithms predict various congenital forward category disorders infections come under prenatal neonatal categories. Later, comparative table was formulated study its effects on embryo fetus. case performing tasks ML DL algorithms, specific steps been followed are in detail framework section. last section performed work done predicting different fuzzy logic, deep neural network, Ensemble learning, Support vector machine, Random forest, Naïve Bayes. From study, it has found although used individual can give good outcomes, more still needs proposing approaches hybrid methods.

Language: Английский

Citations

8
Insight into the crystal structure analysis, vibrational studies, reactivities (MESP, HOMO-LUMO, NBO), and the anticancer activities of ruthenium diazide [Ru(POP)(PPh3)(N3)2] complex by molecular docking approach DOI
Thayalaraj Christopher Jeyakumar,

Rawlings A. Timothy,

Obinna C. Godfrey

et al.

Inorganic Chemistry Communications, Journal Year: 2023, Volume and Issue: 158, P. 111714 - 111714

Published: Nov. 10, 2023

Language: Английский

Citations

4
Cancer Diagnosis Using Artificial Intelligence (AI) and Internet of Things (IoT) DOI
Samiksha Garse, Khadija Shahab Turabi,

Jyotirmoi Aich

et al.

Advances in healthcare information systems and administration book series, Journal Year: 2023, Volume and Issue: unknown, P. 50 - 71

Published: June 12, 2023

Cancer is an ailment that affects people from all walks of life. It not age-specific, nor it gender or race-specific. Affecting the cell cycle various body parts like brain, breast, etc., increases mortality rate, especially with barriers in its early stage detection. The advancement technology has generated big datasets high-resolution images. oncologist's and clinician's diagnosis lacks accuracy, long time intervals, limited information for advanced clinical care, influencing survival rate. In digital era, domain experts are reaping importance artificial intelligence (AI) techniques. As advances, AI internet things (IoT) continue to escalate healthcare area, cancer diagnosis. Researchers looking novel ways diagnose without human-errors false positives. Hence, chapter focuses on these imperative aspects improved patient outcomes.

Language: Английский

Citations

2
CHARACTERIZATION OF GASTRIC CANCER ASSOCIATED VIRULENCE FACTOR CAGPAI OF HELICOBACTER PYLORI: AN IN-SILICO STUDY DOI Creative Commons
Fatima Muccee,

Fatima Razzaq,

N AYUBE

et al.

Biological and Clinical Sciences Research Journal, Journal Year: 2023, Volume and Issue: 2023(1), P. 617 - 617

Published: Dec. 23, 2023

Gastric cancer (GC) is reported to be the sixth most prevalent all over world. Helicobacter pylori one of its causative agents. Its virulence factor cytotoxin-associated gene pathogenicity island (cagPAI) induces GC via causing gastritis, DNA breakage, inhibiting p53 gene, and stimulating pathways. Present study has targeted this pathogenic factor. Sequences cag1, cag2, cag5, cag6 cag8 isoforms were retrieved from Uniprot database subjected in-silico tools for characterization. Tools included CELLU, Protparam, AlphaFold database, MEME suite, STRING tool. Analysis revealed cag extracellular. All diverse molecular weight, isoelectric point (pI), aliphatic index, instability GRAVY. Most conserved motifs interacting proteins common among proteins. Deviation in three-dimensional (3D) configuration was also recorded. This might help design drugs against H. factors cagPAI genes' interactions with other Thus, reducing incidence.

Language: Английский

Citations

1
Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models DOI
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar

et al.

Published: Sept. 14, 2023

Hyperparameter tuning is a crucial step in the process of building accurate machine learning models. Finding optimal combination hyperparameters can be challenging, especially complex models with large hyperparameter spaces. Genetic algorithms (GAs) have become popular approach to address this challenge by efficiently exploring space and selecting best combination. In paper, different are used along genetic search for prediction multi-diseases. The purpose using algorithm optimize hyper-parameters. Based upon evaluations we come know which performed well after hyper-parameter optimization meta heuristic optimization.

Language: Английский

Citations

1