Results 121 to 130 of about 7,998 (283)
Study of Code Smells: A Review and Research Agenda [PDF]
Code Smells have been detected, predicted and studied by researchers from several perspectives. This literature review is conducted to understand tools and algorithms used to detect and analyze code smells to summarize research agenda.
Stuti Tandon, Vijay Kumar, V. B. Singh
doaj +1 more source
DPy: Code Smells Detection Tool for Python
This repo aimes at DPy: A code smell detection tool for Python, capable of detecting both implementation and design code smells. Please open `README.md` file for installation guide and features.
Boloori, Aryan, Sharma, Tushar
openaire +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
QBP1 Peptide as a Potential Anti‐Amyloidogenic Therapy for Type 2 Diabetes: An In Vitro Study
The anti‐amyloidogenic peptide QBP1 effectively halts human islet amyloid polypeptide (hIAPP) aggregation, preventing the formation of toxic β‐structured intermediates. Through a combination of biophysical assays, molecular dynamics, and cell‐based studies, QBP1 is shown to preserve β‐cell viability and metabolic homeostasis, positioning it as a ...
María M. Tejero‐Ojeda +8 more
wiley +1 more source
Malectin alleviates high glucose‐induced ER stress and damage in placental trophoblasts, a function dependent on its six critical carbohydrate‐binding residues. In a GDM mouse model, administration of TAT‐Malectin ameliorated hyperglycemia and placental ER stress and prevented fetal macrosomia.
Jiahui Zhu +12 more
wiley +1 more source
Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method
The quality of source code is negatively impacted by code smells. Since the term "code smell" originated, numerous attempts have been made to comprehend it by identifying it using various techniques, such as metric-based, heuristic-based, optimization ...
Ruchin Gupta +3 more
doaj +1 more source
Exploring the Efficacy of of GPT-3.5 in Code Smell Detection [PDF]
Code smell is a widely recognized term in the software community, used to describe low-quality software designs. It adversely affects the comprehensibility and maintainability of software systems, ultimately reducing their overall quality.
LIU, YANG
core
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha +13 more
wiley +1 more source
Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative evaluation of three search strategies: Grid Search, Random Search, and a ...
Marcela Mosquera +2 more
doaj +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

