Results 151 to 160 of about 7,998 (283)
Optimizing LSTM for Code Smell Detection: The Role of Data Balancing
Code smells are specific patterns or characteristics in software code that indicate potential design or implementation problems. Identifying code smells has gained significant attention in software engineering.
Alnor Adam Khleel, Nasraldeen +1 more
core +1 more source
A piezocatalytic strategy enables simultaneous wastewater purification and hydrogen generation by harnessing mechanical energy. Complementary piezo‐induced charges are selectively directed toward oxidation and reduction pathways, achieving efficient pollutant degradation and continuous H2 evolution.
Yiqing Wei +8 more
wiley +1 more source
Beyond the Code: Unraveling the Applicability of Graph Neural Networks in Smell Detection
International audienceCode smells signify suboptimal software design and implementation practices that can severely impact code maintainability. While traditional approaches to code smell detection have largely relied on heuristic and metric-based ...
Mesbah, Djamel +3 more
core +1 more source
A single‐molecule cascade supramolecular system comprising L/D‐FPy, CB[8], and SC4AD serves as an efficient light‐harvesting platform. It facilitates cascade energy transfer and chiral transfer to acceptor dyes. Co‐assembly with a PVA matrix produces a multicolor solid film that exhibits enhanced luminescence dissymmetry factors (glum), enabling ...
Yongxue Li +5 more
wiley +1 more source
Empirically investigating the human role on the code smell effect [PDF]
Context: Code smell is a term commonly used to describe potential problems in the design of object-oriented systems. The theory about code smells, initially presented in nineties, is focused on characterization of different types of smells and heuristics
Santos, José Amâncio Macedo
core
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu +15 more
wiley +1 more source
High‐throughput quantum‐mechanical simulations reveal that amorphous carbon undergoes shear‐driven structural transformation into aromatic, graphene‐like interfaces. This mechanochemical process is governed by dopant chemistry: dopants with valency less than four promote the emergence of superlow‐friction amorphous graphene, whereas tetra‐valent ...
Takuya Kuwahara +4 more
wiley +1 more source
Molecular dipole engineering in dendritic perylene diimide polymers through nitrogen‐rich heterocyclic linkers amplifies the built‐in electric field, enabling sub‐picosecond charge separation and efficient multi‐electron accumulation. This structure–dynamics–performance relationship establishes a versatile design strategy for high‐performance organic ...
Ying‐Xin Qiao +11 more
wiley +1 more source
CodeSmellSynergy hybrid ensemble learning framework for detecting python code smells
Code smells are symptoms of poor design and implementation in the code, which do not directly affect the functionality, but affect various aspects of the software such as readability, maintainability, and quality.
Chandan Kumar +3 more
doaj +1 more source

