Results 51 to 60 of about 68,118 (266)
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 +5 more
doaj +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 +2 more
wiley +1 more source
Sensing Gestures for Business Intelligence [PDF]
Proceedings of the 3rd International Conference on Sensor Networks, 2014 The combination of sensor data with analytic techniques is growing in popularity for both practitioners and researchers as an Internet of Things (IoT) offers new opportunities and insights. Organisations are trying to use sensor technologies to derive intelligence and gain a competitive edge in their industries.
Bell, DAVID, Makwana, N, Mgbemena, C
openaire +2 more sources
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 +2 more
wiley +1 more source
Balanced coarse-to-fine federated learning for noisy heterogeneous clients
Complex & Intelligent SystemsFor 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 +5 more
doaj +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 +5 more
doaj +1 more source
Considerations Regarding Business Intelligence in Cloud Context [PDF]
Informatică economică, 2015 This paper explores one of the newer challenges related to the field of Business Intelligence: cloud-based business intelligence. The purpose of this paper is to investigate how business intelligence and cloud computing could be used together to provide ...
Mihaela MUNTEAN
doaj +1 more source
Food Tastes in the United States: Convergence or Divergence?
Agribusiness, EarlyView.ABSTRACT This study investigates how food consumption tastes have changed in recent decades across the United States. Using NielsenIQ data for over 77 million transactions, there is evidence of divergence in food tastes across regions from 2007 to 2016 and across households of different income, education, and race/ethnicity groups.
Michael DeDad
wiley +1 more source
Traditional Enterprise Business Intelligence Software Compared to Software as a Service Business Intelligence [PDF]
Informatică economică, 2016 The focus of this paper is on the one hand on the importance of business intelligence in large and medium-sized businesses and on the other side on the evaluation and implementation of Business Intelligence.
Marian Pompiliu CRISTESCU
doaj +1 more source
Scientific Reports, 2023 Routing and security are the two main prerequisites for ensuring the correct operation of wireless networks. The importance of these cases doubles in wide networks such as IoT.
Kunkun Rui, Hongzhi Pan, Sheng Shu
doaj +1 more source