Results 91 to 100 of about 136,207 (260)
A New Social Life Cycle Assessment Framework: An AI‐Driven Optimization Approach and Application
Sustainable Development, EarlyView.ABSTRACT Social life cycle assessment (SLCA) has increasingly been acknowledged as a tool for assessing the societal impacts of services and products. However, the fragmented nature of current approaches makes it difficult to compare this concept and its practical applications.
Flavio Vassallo Mattos +3 more
wiley +1 more source
Semantic-Enhanced News Clustering Using TF-IDF and WordNet with K-Means
Journal of Information Systems and InformaticsText clustering of news articles falls under unsupervised learning, where models operate on unlabeled data unless partially annotated. K-Means Clustering remains one of the most commonly applied algorithms due to its efficiency and simplicity. Likewise,
Mohammad Yusuf Hidayat +2 more
doaj +1 more source
Results of using KNN with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the Yahya et al. (2012) dataset.
, 2020 Results of using KNN with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the Yahya et al. (2012) dataset.
Nazlia Omar (801714) +1 more
core +1 more source
Sustainable Development, EarlyView.ABSTRACT The integration of Environmental, Social and Governance (ESG) criteria into sustainable development exposes critical limitations in traditional cost modelling for Asset Lifecycle Management. Through a systematic review of 64 studies (2016–2025), this research identifies gaps including the compartmentalisation of ESG factors, methodological ...
Ziru Tao +4 more
wiley +1 more source
ANALISIS PROGRAM MAKAN BERGIZI GRATIS DENGAN SUPPORT VECTOR MACHINE (SVM) PADA APLIKASI X
JSiI (Jurnal Sistem Informasi)The Free Nutritious Meal Program (MBG), which represents a priority program of President Prabowo Subianto, has garnered widespread attention from Indonesian society. This program has received sympathy from various groups, including students and informal
Sekar Cinta Amaria, Nurtriana Hidayati
doaj +1 more source
A Heuristic Data-Sanitization Approach Based on TF-IDF
, 2012 [[abstract]]Data mining technology can help extract useful knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. In this paper, the SIF-IDF algorithm is proposed
Hong, Tzung-Pei; Lin, Chun-Wei; Yang, Kuo-Tung; Wang, Shyue-Liang
core
The impact of generative artificial intelligence on innovation: Evidence from software products
Strategic Management Journal, EarlyView.Abstract Research Summary We study the impact of generative artificial intelligence (GAI) tools on product‐level innovation outcomes in the context of software products. Specifically, we illustrate how GAI can alter the direction of innovation by shifting the activities of developers away from generational innovation and toward original innovation ...
Erdem Doğukan Yılmaz, Tim Meyer
wiley +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
Systems Engineering, EarlyView.ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
The Hidden Hallyu Emerged: Exploring the Key Motives of Reading Adapted K‐Webtoons of South Korea
Thunderbird International Business Review, EarlyView.ABSTRACT This study aims to investigate why global fans read Korean webtoons (K‐webtoons) and how their motivations vary across different genres. Previous studies have approached the Korean Wave (Hallyu) from a national perspective, emphasizing its influence and primarily discussing K‐pop and K‐drama.
Hoseok Gwak +3 more
wiley +1 more source
The DF-ICF Algorithm- Modified TF-IDF
International Journal of Computer Applications, 2014 tf-idf is an algorithm which is generally used where massive data processing is done. Tf-idf is the weight given to a particular term within a document and it is proportional to the importance of the term. This paper aims to use the idea behind the tf-idf algorithm to design the df-icf algorithm which finds the importance of a particular document ...
Vidya Kamath, Puneet Goswami
openaire +1 more source