Results 51 to 60 of about 7,812,445 (274)

MINDS: A Modular Multi-Agent Decision-Support Framework for Dynamic Strategic Mine Planning

Mining
Strategic Mine Planning (SMP) creates the long-term economic baseline for mining operations, yet economic variability necessitates Dynamic Mine Planning (DMP) to rapidly stress-test those financial assumptions.
Ricardo Nunes, Nathalie Risso, Moe Momayez   +2 more
doaj   +1 more source

Using automated valuation models for real estate valuation

Journal of Applied Science and Engineering A
Asset valuation is not only a fundamental tool in economic relations but also an integral part of asset utilization, management, and planning for all participants in these relationships. Until now, traditional approaches relying on 100% involvement of appraisers have remained dominant, but with technological advancement, there is an increasing trend ...
Enkhsuren Adilbish, Bayartugs Tamjav, Enkhtuya Bavuudorj, Zolzaya Dashdorj, Ankhtuya Dorjgotov, Mungunsukh Shirnen   +5 more
openaire   +1 more source

Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma

Molecular Oncology, EarlyView.
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara, Kosuke Murakami, Shiro Takamatsu, Akiko Kanto, Seiichi Mori, Tomoyuki Otani, Kazuko Sakai, Yasushi Kotani, Kazuto Nishio, Kaoru Abiko, Noriomi Matsumura   +10 more
wiley   +1 more source

Real estate valuation with multi-source image fusion and enhanced machine learning pipeline.

PLoS ONE
The automated valuation model (AVM) has been widely used by real estate stakeholders to provide accurate property value estimations automatically. Traditional valuation models are subjective and inaccurate, and previous studies have shown that machine ...
Lin Deng
doaj   +1 more source

Explainable AI for Urban Real-Estate Prediction: A Machine-Learning Framework for Urban Decision Support

Urban Science
This study introduces RE-VAL (REal-estate VALuation), an explainable framework for urban real-estate analysis that integrates reproducible data acquisition, geographically informed feature processing, predictive benchmarking, and interpretable outputs ...
Valeria Saiu, Matteo Mocci
doaj   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

Molecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau, Daniel Pincher, Clifford Young, Nicholas Chappell, Noor A. Lokman, Parul Mittal, Leigh Donnellan, Martin K. Oehler, Doug A. Brooks, Peter Hoffmann   +9 more
wiley   +1 more source

Algorithm-Driven Hedonic Real Estate Pricing – An Explainable AI Approach

Real Estate Management and Valuation
Data-driven machine learning algorithms triggered a fundamental change in hedonic real estate pricing. However, their adaptive nonparametric structure makes inference and out-ofsample prediction challenging.
Tarasov Stanislav, Dessoulavy-Śliwiński Bartłomiej   +1 more
doaj   +1 more source

Explainable AI-based mass appraisal: Insights from machine learning applications in Korea’s residential property market

International Journal of Strategic Property Management
Mass appraisal plays a pivotal role in real estate management, facilitating property tax assessments, mortgage evaluations, and urban planning across large geographical areas.
Woo-sung Kim, Insu Choi, Myounggu Lee
doaj   +1 more source

A Context-Driven Framework for Proactive Decision Support With Applications

IEEE Access, 2017
Major challenges anticipated in the future C4ISR (command, control, communications, computers, intelligence, surveillance, and reconnaissance) operations involve rapid mission planning/ re-planning in highly dynamic, asymmetric, unpredictable, and ...
Manisha Mishra, David Sidoti, Gopi Vinod Avvari, Pujitha Mannaru, Diego Fernando Martinez Ayala, Krishna R. Pattipati, David L. Kleinman   +6 more
doaj   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source