Results 71 to 80 of about 80,037 (309)
Albanian Text Classification: Bag of Words Model and Word Analogies
Business Systems Research, 2019 Background: Text classification is a very important task in information retrieval. Its objective is to classify new text documents in a set of predefined classes, using different supervised algorithms.
Kadriu Arbana, Abazi Lejla, Abazi Hyrije
doaj +1 more source
Commodity Image Classification Based on Improved Bag-of-Visual-Words Model
Complexity, 2021 With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results.
Huadong Sun +4 more
doaj +1 more source
Informatics, 2022 Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for ...
Negar Orangi-Fard +2 more
doaj +1 more source
Knitted Pneumatic Fabrics for Dynamic Pressure Modulation in Personalized Healthcare Wearables
Advanced Science, EarlyView.A pneumatic pressure‐regulating knitted fabric (PPKF) is developed, in which knitted pneumatic circuit enables the seamless integration of ultralow radial expansion pneumatic fiber into dual‐channel textile structure. By strategically modulating channel spacing, delivering adjustable dynamic pressures and clinically relevant gradient compression ratios.
Xiaoyu Chen +5 more
wiley +1 more source
Spatial Pyramid Bag of Words Algorithm Based on Persistent Homology [PDF]
Jisuanji kexueTo address the mismatch between the output form of topological features extracted from persistent homology and the common input form of machine learning algorithms,this paper proposes a new algorithmic framework－Spatial Pyramid Bag of Words Algorithm ...
YI Lisha, PENG Ningning
doaj +1 more source
Fuzzy Information Retrieval Based on Continuous Bag-of-Words Model
Symmetry, 2020 In this paper, we study the feasibility of performing fuzzy information retrieval by word embedding. We propose a fuzzy information retrieval approach to capture the relationships between words and query language, which combines some techniques of deep ...
D. Qiu, Haihuan Jiang, Shuqiao Chen
semanticscholar +1 more source
Bag-of-Words as Target for Neural Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 A sentence can be translated into more than one correct sentences. However, most of the existing neural machine translation models only use one of the correct translations as the targets, and the other correct sentences are punished as the incorrect ...
Shuming Ma +3 more
semanticscholar +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Advanced Science, EarlyView.This study presents a DNA hydrogel‐mediated delivery system, in which ginsenoside (GS) molecules are incorporated into small extracellular vesicles (sEV) secreted by mesenchymal stem cells (MSCs) and the formed complexes are then anchored in DNA hydrogels via aptamer‐CD63 affinity as “GS/sEV@DNAgels”, to improve diabetic wound repair.
Jianming Xing +14 more
wiley +1 more source
Product Design Development of Three-In-One Tote Bag Using The Kansei Engineering Method
Jurnal Ilmiah SINERGI, 2022 The existing tote bag designs are often open at the top and vulnerable to pickpockets. Straps cannot be adjusted in length. Narrow straps, size, and the weight of their bags are causing pain.
Yuda Paripurna, Hari Purnomo
doaj +1 more source