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Prediction-based One-shot Dynamic Parking Pricing
[article]
2022
pre-print
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To this end, we present a proactive prediction-driven optimization framework to dynamically adjust parking prices. ...
Owing to the continuous and bijective characteristics of NODEs, in addition, we design a one-shot price optimization method given a pre-trained prediction model, which requires only one iteration to find ...
Our contributions can be summarized as follows: (1) We design a sophisticated future parking occupancy rate prediction model based on NODEs. (2) We design a novel one-shot price optimization, owing to ...
doi:10.1145/3511808.3557421
arXiv:2208.14231v1
fatcat:du2tkcqw7vgbjf4vjfldvj56kq
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
[article]
2023
arXiv
pre-print
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We evaluate different pre-trained models on TabMWP, including the GPT-3 model in a few-shot setting. ...
As earlier studies suggest, since few-shot GPT-3 relies on the selection of in-context examples, its performance is unstable and can degrade to near chance. ...
We would like to thank Zhou Yu and Jiuxiang Gu for insightful discussions on dataset collection. We thank Muhao Chen and Yao Fu for constructive suggestions in developing baselines and experiments. ...
arXiv:2209.14610v3
fatcat:ozmoez6wjvfmvjltpvz7ft62ym
Grid Balancing with Electrolysers and Wind Power
2023
Zenodo
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Grid services are simulated with each country's data for 2017 for energy prices, grid services and wind power profiles from relevant wind parks. ...
One way to improve the economy of electrolyser plants it to monetise their rapid dynamics and availability by providing grid services to the power grid, which are remunerated in different ways across countries ...
• Time slot size: -1 hour -30 minutes
Value of Curtailed Hydrogen A metric to evaluate grid services on their own • Price of sold hydrogen is unknown or volatile -Often agreed "politically" rather than ...
doi:10.5281/zenodo.8389349
fatcat:qxugnposqjg25kplsewbubawqm
Table of contents
2018
IEEE Transactions on Image Processing
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Member and nonmember subscription prices available upon request. Available in print, electronic, and CD-ROM. ...
Dragotti 5234 Restoration and Enhancement Robust Single-Shot Fringe Projection Profilometry Based on Morphological Component Analysis ...................... ............................................ ...
Karam 5553 Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset .............. ................................................................................ ...
doi:10.1109/tip.2018.2871548
fatcat:bbsllfph2bcv5lf5wcr4vgedoe
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2309.00855v1 fatcat:eqsksn43jfcsvcosnagpp5osuuOther Versions
DoRA is pre-trained with an intra-sample geographic prediction as the pretext task based on the metadata of the real estate for equipping the real estate representations with prior domain knowledge. ...
Real estate appraisal serves as one of the high-cost property valuation tasks for financial institutions since it requires domain experts to appraise the estimation based on the corresponding knowledge ...
the house price prediction. ...
arXiv:2309.00855v3
fatcat:n7k26gz6nvhhvmubld4nmjxygm
Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa
2020
Sensors
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Furthermore, we propose a dynamic pricing algorithm to yield maximum possible revenue for the parking authority and optimum parking slot availability for the drivers. ...
One of the most significant reasons for increased traffic jams on the road is random parking in unauthorized and non-permitted places. ...
The dynamic price computation service based on Algorithm 1 then sets a total payable fee for the parking request and awaits confirmation. ...
doi:10.3390/s20174669
pmid:32824989
fatcat:jy6yp45wiffujl7xriq2eez2ky
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation
[article]
2024
arXiv
pre-print
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This paper explores the potential of Large Language Models(LLMs) in zero-shot anomaly detection for safe visual navigation. ...
Moreover, our proposed framework leverages the advantages of LLMs and the open-vocabulary object detection model to achieve the dynamic scenario switch, which allows users to transition smoothly from scene ...
The prices are calculated with an average of 2 hours of daily usage and are based on the chatGPT API pricing policy. ...
arXiv:2403.12415v1
fatcat:sog7gfnaljc3zm5mxcygay2gt4
Book Review: Consumer Attitudes and Demand, 1950–52
1954
Journal of Marketing
Preserved Fulltext
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The point is made that one cannot make a sound prediction from one survey because there are always cross-currents within the data. ...
So far, predictions have been qualitative, that is, on whether there would be change and in what direction. ...
doi:10.1177/002224295401800420
fatcat:lluajhbfoza3tjhlbh74zwdcjq
Active Prompting with Chain-of-Thought for Large Language Models
[article]
2023
arXiv
pre-print
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Further analyses of different uncertainty metrics, pool sizes, zero-shot learning, and accuracy-uncertainty relationship demonstrate the effectiveness of our method. ...
Experimental results demonstrate the superiority of our proposed method, achieving state-of-the-art on eight complex reasoning tasks. ...
We call it few-shot prompting trick to stabilize the prediction. ...
arXiv:2302.12246v2
fatcat:hqebraa3bjgd7jn5lmmmdnfa2q
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
[article]
2020
arXiv
pre-print
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Our method achieves near the current state-of-the-art in joint goal accuracy on MultiWOZ 2.1 given full training data. ...
We divide the slot types in dialogue state into categorical or extractive to borrow the advantages from both multiple-choice and span-based reading comprehension models. ...
and parking at a moderate price." ...
arXiv:2004.05827v1
fatcat:ybzyjysxenh4dp55yurmarviuu
Building Software Agents for Planning, Monitoring, and Optimizing Travel
[chapter]
2004
Information and Communication Technologies in Tourism 2004
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Planning and executing a trip requires assembling a wide variety of interacting information from a large number of sources, including information on flight schedules and prices, hotel locations and reviews ...
, and exploit data mining to make predictions that can either save a traveler money or improve the likelihood of a successful trip. ...
Fig. 4 shows an example constraint network for making these types of decisions, where the total cost of parking a car, which is calculated based on the airport, the selected parking lot, and the number ...
doi:10.1007/978-3-7091-0594-8_1
dblp:conf/enter/Knoblock04
fatcat:wzhi2tgcabfupppd3fpq7o5ag4
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
[article]
2022
arXiv
pre-print
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Our evaluation results on the single-task polarity prediction show that our approach outperforms the previous state-of-the-art (based on BERT) on average performance by a large margins in few-shot and ...
In this paper, we focus on aspect-based sentiment analysis, which involves extracting aspect term, category, and predicting their corresponding polarities. ...
As shown in Figure 1 , the proposed model, based on GPT2-base, outperforms BERT on few-and full-shot settings on all sub-tasks (SB2 and SB4) for SemEval14 and SemEval16. ...
arXiv:2204.05356v1
fatcat:bhh7upamnvguxoqwce6f3f6raq
Dynamics of Consumer Demand for New Durable Goods
2012
Journal of Political Economy
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We estimate the model on the digital camcorder industry using a panel data set on prices, sales and characteristics. ...
Most new consumer durable goods, particularly consumer electronics, are characterized by relatively high initial prices followed by rapid declines in prices and improvements in quality. ...
shares, which is based on consumers' dynamic optimization decisions. ...
doi:10.1086/669540
fatcat:k5n664zoqngclccg7xry2le2ra
Dynamics of Consumer Demand for New Durable Goods
2007
Social Science Research Network
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We estimate the model on the digital camcorder industry using a panel data set on prices, sales and characteristics. ...
Most new consumer durable goods, particularly consumer electronics, are characterized by relatively high initial prices followed by rapid declines in prices and improvements in quality. ...
shares, which is based on consumers' dynamic optimization decisions. ...
doi:10.2139/ssrn.1000222
fatcat:nkhqfabgcvejdiitvfpfbcboci
An Evaluation of a Long-Term Feral Goat Control Program in Mootwingee National Park and Coturaundee Nature Reserve, Far Western New South Wales
1999
The Rangeland journal
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goat mustering and aerial culling was conducted on Mootwingee National Park and Coturaundee Nature Reserve, an area with high densities of goats (Southwell et al. 1993) . ...
During this period a total of 42,516 goats were removed (13,089 mustered, 29,427 shot). ...
The analysis of these data was made possible by funding from Kimberly-Clarke Australia (through the N S W Foundation for National Parks and Wildlife). ...
doi:10.1071/rj9990013
fatcat:rbhlmswgabatnkcucj7vmqwrxm
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