Results 111 to 120 of about 4,310,333 (286)
Single‐Particle FRET Probes Heterogeneity in the Ligand Shell of Colloidal Perovskite Quantum Dots
Single‐particle, single‐molecule Förster resonance energy transfer turns dye‐tagged ligands into nanorulers for the otherwise elusive organic shell of CsPbBr3 quantum dots. Distance variations within individual particles reveal pronounced local heterogeneity, while changes in the surrounding ligand chemistry shift the average dye–surface separation ...
Leon G. Feld +6 more
wiley +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 +2 more sources
A novel selective laser sintering and graphitization (SLSG) 3D printing technology enables unibody fabrication of compacted insulating structures and conductive circuits in fluidic‐integrated wearable electronics through adaptive photonic modulation.
Li Zhang, Wing Cheung Mak
wiley +1 more source
Title: Code Smell Detection in Eclipse
Refactoring is a software engineering technique that, by applying a series of small behavior-preserving transformations, can improve a software system’s design, readability and extensibility.
Supervisor Dr +4 more
core
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +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 +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
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 NLP Techniques for Code Smell Detection: A Comparative Study
International audienceCode smell detection is essential for maintaining and evolving software systems, yet effectively capturing the nuanced structure and semantics of code remains a significant challenge.
Mesbah, Djamel +3 more
core +1 more source
Deteksi Code Smell dengan Pendekatan Machine Learning: Analisis Bibliometrik [PDF]
Dalam pengembangan perangkat lunak, aspek efisiensi dan keberlanjutan sangat penting. Teknik refactoring digunakan untuk mengurangi dampak dari code smell yang merupakan bentuk technical debt akibat implementasi source code yang tidak mematuhi prinsip ...
Kusuma, Ellysha
core +1 more source

