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Waiting to be Sold: Prediction of Time-Dependent House Selling Probability

I. ABSTRACT

Buying or selling a house is one of the important decisions in a person's life. Online listing websites like "zillow.com", "trulia.com", and "realtor.com" etc. provide significant and effective assistance during the buy/sell process. However, they fail to supply one important information of a house that is, approximately how long will it take for a house to be sold after it first appears in the listing? This information is equally important for both a potential buyer and the seller. With this information the seller will have an understanding of what she can do to expedite the sale, i.e. reduce the asking price, renovate/remodel some home features, etc. On the other hand, a potential buyer will have an idea of the available time for her to react i.e. to place an offer. In this work, we propose a supervised regression (Cox regression) model inspired by survival analysis to predict the sale probability of a house given

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SARAWAK CONSTRUCTION (1963) SDN. BHD. (92363-K) 9th Floor, Crown Towers, 88, Jalan Pending, 93450 Kuching, Sarawak, Malaysia

CONTRACT DOCUMENT

FOR

PROPOSED 5-STOREY SHOPPING CENTRE WITH BASEMENT ON LOT 2636 & 2105 AND PART OF LOT 3041, BLOCK 10, KCLD, JALAN TUN AHMAD ZAIDI ADRUCE, KUCHING

Specifications And

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CONSTRUCTION AND COMPLETION OF JETTY C, ROAD AND BRIDGES FOR BALEH HYDROELECTRIC PROJECT

CONTRACT DOCUMENTS - CONTRACT REF. NO. PLS-120058-BLP1(2)

VOLUME $1 / 2$

CONTRACT APPENDIX A - SCOPE OF WORK

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Overview of Large Language Models in Construction Industry Applications

Chun $\mathrm{Li}^{*}$
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
li_chun@cscec.com
Meng Wang
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
mengwang_molly@163.com

Abstract

With the increasing demand for digitalization and intelligent transformation in the construction industry, large language models (LLMs), a key AI technology, are leading the way in innovation and development for this sector. This paper will focus on how LLMs are changed and changing the construction industry in ways that spur design innovation, cost management, and sustainability. The different applications of LLMs throughout a project life cycle are discussed: project planning, design, construction, and operation. Showing how LLMs optimize processes and make work easier, the paper illustrates the rise of digital transformation in more s- sustainable practices in construction. It also shows the contri

paulpierre

Overview of Large Language Models in Construction Industry Applications

Chun $\mathrm{Li}^{*}$
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
li_chun@cscec.com
Meng Wang
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
mengwang_molly@163.com

Abstract

With the increasing demand for digitalization and intelligent transformation in the construction industry, large language models (LLMs), a key AI technology, are leading the way in innovation and development for this sector. This paper will focus on how LLMs are changed and changing the construction industry in ways that spur design innovation, cost management, and sustainability. The different applications of LLMs throughout a project life cycle are discussed: project planning, design, construction, and operation. Showing how LLMs optimize processes and make work easier, the paper illustrates the rise of digital transformation in more s- sustainable practices in construction. It also shows the contri

paulpierre

Overview of Large Language Models in Construction Industry Applications

Abstract

With the increasing demand for digitalization and intelligent transformation in the construction industry, large language models (LLMs), a key AI technology, are leading the way in innovation and development for this sector. This paper will focus on how LLMs are changed and changing the construction industry in ways that spur design innovation, cost management, and sustainability. The different applications of LLMs throughout a project life cycle are discussed: project planning, design, construction, and operation Showing how LLMs optimize processes and make work easier, the paper illustrates the rise of digital transformation in more $s$ - sustainable practices in construction. It also shows the contributions of LLMs in enhancing safety and operational performance.

CCS Concepts

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Overview of Large Language Models in Construction Industry Applications

Chun $\mathrm{Li}^{*}$
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
li_chun@cscec.com
Meng Wang
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
mengwang_molly@163.com

Abstract

With the increasing demand for digitalization and intelligent transformation in the construction industry, large language models (LLMs), a key AI technology, are leading the way in innovation and development for this sector. This paper will focus on how LLMs are changed and changing the construction industry in ways that spur design innovation, cost management, and sustainability. The different applications of LLMs throughout a project life cycle are discussed: project planning, design, construction, and operation. Showing how LLMs optimize processes and make work easier, the paper illustrates the rise of digital transformation in more s- sustainable practices in construction. It also shows the contri

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Overview of Large Language Models in Construction Industry ${ }^{1}$ Applications

Chun $\mathrm{Li}^{*}$
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
li_chun@cscec.com
Meng Wang
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
mengwang_molly@163.com

Abstract

With the increasing demand for digitalization and intelligent trans- 7 formation in the construction industry, large language models (LLMs), a key AI technology, are leading the way in innovation and development for this sector. This paper will focus on how LLMs are changed and changing the construction industry in ways that spur design innovation, cost management, and sustainability. The different applications of LLMs throughout a project life cycle are discussed: project planning, design, construction, and operation. Showing how LLMs optimize processes and make work easier, the paper illustrates the rise of digital transformation in more s- sustainable practices in construction. It also shows

paulpierre

Overview of Large Language Models in Construction Industry Applications

Chun $\mathrm{Li}^{*}$
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
li_chun@cscec.com
Meng Wang
CHINA CONSTRUCTION DIGITAL TECHNOLOGY Co., Ltd.
Beijing, China
mengwang_molly@163.com

Abstract

With the increasing demand for digitalization and intelligent transformation in the construction industry, large language models (LLMs), a key AI technology, are leading the way in innovation and development for this sector. This paper will focus on how LLMs are changed and changing the construction industry in ways that spur design innovation, cost management, and sustainability. The different applications of LLMs throughout a project life cycle are discussed: project planning, design, construction, and operation. Showing how LLMs optimize processes and make work easier, the paper illustrates the rise of digital transformation in more s- sustainable practices in construction. It also shows the contri

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SCHEDULE OF UNIT RATES (LPG INSTALLATION)

PER M RUN OR PER NO.

1 LPG pipe $0.5^{\prime \prime}$ $0.75^{\prime \prime}$ $1^{\prime \prime}$ $1.25^{\prime \prime}$ $1^{\prime \prime}$