Results 61 to 70 of about 1,124,474 (352)

Balanced coarse-to-fine federated learning for noisy heterogeneous clients

Complex & Intelligent Systems
For heterogeneous federated learning, each client cannot ensure the reliability due to the uncertainty in data collection, where different types of noise are always introduced into heterogeneous clients.
Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang   +5 more
doaj   +1 more source

Deep Fusion Prediction Method for Nonstationary Time Series Based on Feature Augmentation and Extraction

Applied Sciences, 2023
Deep learning effectively identifies and predicts modes but faces performance reduction under few-shot learning conditions. In this paper, a time series prediction framework for small samples is proposed, including a data augmentation algorithm, time ...
Yu-Lei Zhang, Yu-Ting Bai, Xue-Bo Jin, Ting-Li Su, Jian-Lei Kong, Wei-Zhen Zheng   +5 more
doaj   +1 more source

Implementation of Business Intelligence Using Highlights in the YII Framework Based Attendance Assessment System [PDF]

, 2019
Attendance information conducted by students can now be easily accessed by a supervisor. However, there are 3 (three) difficulties faced by supervisors, one of which is presenting information with tables requiring considerable time and very high accuracy
Harahap, E. P. (Eka), Hariguna, T. (Taqwa), salsabila, S. (Salsabila)   +2 more
core   +1 more source

Assessing Agricultural Green Total Factor Productivity in Latin America

Agribusiness, EarlyView.
ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li, Vanessa Ormeño‐Candelario, Xueli Chen   +2 more
wiley   +1 more source

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization

Complexity, 2020
The power load prediction is significant in a sustainable power system, which is the key to the energy system’s economic operation. An accurate prediction of the power load can provide a reliable decision for power system planning.
Xue-Bo Jin, Hong-Xing Wang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong   +5 more
doaj   +1 more source

Staging an Experience of Cultural Heritage Preservation: Consumers' Willingness to Pay for Heirloom Rice in the Philippines

Agribusiness, EarlyView.
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley   +1 more source

Growth of Omnichannel Grocery Retailing and Food Prices

Agribusiness, EarlyView.
ABSTRACT This paper examines the effects of the growth of omnichannel grocery retailing on food prices. We first develop a conceptual model of consumer choice and retailer pricing that allows us to evaluate changes in equilibrium prices, quantities, and profits with online channel growth and alternative pricing strategies.
Xiangwen Kong, Metin Çakır, Qingxiao Li   +2 more
wiley   +1 more source

Leveraging business intelligence and analytics for strategic success in the hospitality industry: Insights from hotels [PDF]

Journal of Project Management
This research strives to offer valuable insights into business intelligence and analytics utilization. Besides, its expansion encompasses essential success factors for business intelligence and strategic management in the hospitality industry.
Ala Nihad Bustami, Fawwaz Tawfiq Awamleh, Alaa M. Al-Momani   +2 more
doaj   +1 more source

Bayesian modeling of networks in complex business intelligence problems

, 2016
Complex network data problems are increasingly common in many fields of application. Our motivation is drawn from strategic marketing studies monitoring customer choices of specific products, along with co-subscription networks encoding multiple ...
Airoldi, Aldous, Azzalini, Banerjee, Bhattacharya, Bigelow, Dunson, Escobar, Fruchterman, Gershman, Griffiths, Hjort, Hoff, Hoff, Kaishev, Kamakura, Kamakura, Lau, Matiş, Medvedovic, Neal, Nowicki, Polson, Rousseau, Stephens, Thuring, Thuring, Verhoef   +27 more
core   +1 more source

India–United States Agricultural Trade Under the America‐First Agenda

Agribusiness, EarlyView.
ABSTRACT This article examines India–United States agricultural trade under the America‐First agenda, highlighting trade patterns, tariff structures, and potential impacts of United States trade policies. Total agricultural trade remains modest at $7 billion annually, with India imposing higher tariffs (average 39%) than the United States (5%).
Badri N. Gopalakrishnan, Munisamy Gopinath, Kannan Kumar   +2 more
wiley   +1 more source