We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for prediction.
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prediction Product List and Ranking from 32 Manufacturers, Suppliers and Companies

Last Updated: Aggregation Period:Sep 17, 2025~Oct 14, 2025
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 17, 2025~Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. パトコア Tokyo//IT/Telecommunications
  2. null/null
  3. ウェーブフロント 本社 Kanagawa//software
  4. データリソース Tokyo//others
  5. Haloworld株式会社/カンテック株式会社 Tokyo//robot

prediction Product ranking

Last Updated: Aggregation Period:Sep 17, 2025~Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation' パトコア
  2. Reliability life prediction using Weibull analysis ウェーブフロント 本社
  3. Predicting river flooding by combining cellular LPWA and LiDAR. Haloworld株式会社/カンテック株式会社
  4. 4 AI-based analysis result prediction Neural Concept Shape SCSK デジタルエンジニアリング事業本部
  5. 4 2023 Edition: Forecast of the Automotive Industry in 2040 データリソース

prediction Product List

46~60 item / All 74 items

Displayed results

Environmental assessment and prediction (simulation)

Wind damage prediction after apartment construction, road environmental impact assessment, etc.! Evaluations and predictions related to environmental issues.

Our company conducts business to improve the environment along roads by assessing the current state of roadside environments, predicting future environmental conditions, simulating countermeasures, and proposing environmental improvement measures. Furthermore, to provide new technologies, we develop techniques for environmental surveys and environmental simulation programs. We are capable of predicting wind damage after the construction of condominiums, predicting wind damage due to topographical changes, and forecasting atmospheric diffusion considering topographical impacts. 【Service Contents (Excerpt)】 ■ Wind damage prediction after condominium construction ■ Wind damage prediction due to topographical changes ■ Atmospheric diffusion prediction considering topographical impacts ■ Road environment impact assessment ■ Area-based evaluation ■ Continuous environmental monitoring *For more details, please refer to the related links or feel free to contact us.

  • Contract measurement
  • Other contract services

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OIT prediction based on Chemiluminescence data of Polyamide 6 powder.

Predictive analysis of OIT values using heating measurement data up to 190℃!

This document is a technical note explaining the OIT prediction based on Chemiluminescence data for polyamide 6 powder (without added antioxidants). Using heating measurement data up to 190°C (35°C below the melting point), where PA6 is in a state of slight melting of crystalline and amorphous parts, the OIT value is predicted. It was found that the oxidation induction time (OIT) can be predicted in the range of 90°C to 230°C from the heating measurement data at 0.2, 0.4, and 0.8 K/min. For details, please refer to the published catalog. 【Published Data (Excerpt)】 ■ CL strength signal data from 50 to 250°C (0.8 K/min) ■ Selection of appropriate peak integration range ■ Standardization of CL strength curves at 0.2 to 0.8 K/min with a peak integration value of 8.28E8 cts/g ■ Peak integration curve of heating rate 0.8 K/min data ■ CL strength curve log-log plot when the peak integration value is set to 8.28E+8 cts/g *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis

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OIT prediction below 130°C based on measured data of polypropylene powder OIT.

Predict the CL intensity data of OIT under isothermal conditions below 130°C, lower than 140°C, from the actual measurement data of OIT!

This document is a technical note explaining the OIT predictions below 130°C based on measured OIT data of polypropylene powder. By analyzing the measured OIT data of PP powder under isothermal conditions at 140, 150, and 160°C, OIT values from 50 to 200°C were predicted. The predicted OIT values up to 90°C were almost accurate, but the predicted OIT values below 90°C were shorter in duration compared to the measured values. For more details, please refer to the published catalog, and we encourage you to read it. 【Published Data (Excerpt)】 ■ Measured OIT data of PP (powder) at isothermal conditions of 140, 150, and 160°C ■ Reaction rate curves calculated from measured isothermal data at 140, 150, and 160°C ■ CL strength data curves obtained from measured isothermal data at 140, 150, and 160°C ■ Display of CL data on the reaction rate curve (Log scale) ■ Display of the entire range of CL data on the reaction rate curve (Log scale) *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis

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LYNA (Lina) Packaging Quantity Forecast

An AI specialized in logistics, making anyone a forecasting expert.

With just 7 days of shipping performance data, it quickly learns and predicts shipping volumes with high accuracy. Even new products without historical data are automatically estimated by AI. In the shipping field, there are instances where, despite having order data from stores, the packaging and quantity are unknown, making it difficult to predict shipping volumes. "LYNA Packaging Quantity Prediction" solves this problem. There is no need for any management of product master data. LYNA's unique AI automatically learns the relationship between past order data and shipping volumes, calculating shipping volumes for each store or route.

  • Other information systems

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Fault Prediction × IoT - Building a Predictive Maintenance System

Introducing the construction of predictive maintenance systems, including system images and case studies!

The background for the growing attention on anomaly detection and predictive maintenance includes factors such as the increasing complexity of failures and the rising costs of maintenance. This document introduces the construction of predictive maintenance systems. Additionally, it explains the image of predictive maintenance systems, case studies of their construction, and the construction workflow. 【Contents (Excerpt)】 ■ Image of Predictive Maintenance System ■ Predictive Maintenance by Three "Functional Levels" ■ Background for the Attention on Predictive Maintenance ■ Case Studies of Predictive Maintenance System Construction ■ Workflow for Constructing Predictive Maintenance Systems *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems
  • Software (middle, driver, security, etc.)

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3D Simulation: Production Resource Utilization Rate Forecast

Useful for examining equipment performance guarantees! Predicting the operating rate of production resources and confirming coordination with upstream and downstream processes.

The simulation software can not only handle various industrial robots but also production equipment such as parts feeders and conveyors, as well as the operational confirmation of AGVs and workers. Additionally, by pre-validating the operational rates and production forecasts of each production resource and their collaboration with preceding and subsequent processes, it can be useful for verifying cost-effectiveness and considering equipment performance guarantees. Please feel free to contact us when you need assistance. *For more details, please refer to the PDF materials or feel free to reach out to us.

  • Other CAD related software
  • simulator
  • 3D CAD

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FEMFAT weld extension module: Fatigue life prediction of welded joints

Practical element division (shell elements) & evaluation method of SolidWELD

In the development of components that include welded structures, accurately predicting the fatigue life of weld joints has become essential. By utilizing FEMFAT weld, precise fatigue life predictions for weld joints can be achieved. FEMFAT weld offers various functions, including sensitivity analysis to identify critical welding shape parameters and evaluation options compliant with standards such as BS7608 and Eurocode 3. When calculating the fatigue life and safety factors of welded structures, the highly flexible analytical methods implemented in FEMFAT weld allow for simultaneous analysis of shell element models and solid element models. For the evaluation of weld root areas and weld termination points, detailed modeling of the fillet shape of the evaluation area can be performed, eliminating the need for extensive manual work. *For more details, please download the PDF or contact us.*

  • weld 1.png
  • weld 2.png
  • weld 3.png
  • Structural Analysis

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How to Create Sales Forecasts: Key Points for Utilizing Them in Sales Strategy Planning

Introducing the importance of forecasting sales in business and methods for calculating it in a column!

In order to respond to the rapid changes in today's business environment, companies must constantly develop new strategic designs. This is also true for sales strategies, where accurately forecasting sales projections allows for an understanding of the current situation and the formulation of appropriate sales strategies. In this article, we will explain the data and forecasting methods necessary for predicting sales projections, as well as key points for utilizing them in the formulation of sales strategies. *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.

  • Technical and Reference Books
  • SFA/Sales Support System

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Solving the Future Doctor Shortage: Predicting Risks for Diabetes Patients

Predicting the risks for diabetes patients! Anyone can evaluate using "expert" knowledge, contributing to the solution of the future "doctor shortage."

We would like to introduce a case of risk prediction for diabetes patients using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. At the university, general staff members were responsible for extracting subjects for health guidance, which posed the risk of accountability issues due to incorrect risk assessments. After implementation, AI supported appropriate evaluations from limited information, enabling even those without expertise to make expert-level judgments. [Challenges] - General staff members conducted the extraction of subjects for health guidance. - There was a possibility of accountability issues arising from incorrect risk assessments. - The volume of data from experts was large, and the analysis itself was at a high level. *For more details, please refer to the PDF materials or feel free to contact us.

  • Other information systems

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Quality relevance and lifespan prediction utilizing data mining

Recommended technical proposal for customers considering the measurement of effects and quality improvement in predictive maintenance and equipment management! Utilizing large-scale data and machine learning as well!

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a concern when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that has a completion level of around 60 to 70 points, rather than aiming for a perfect score of 100 from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

  • Business Intelligence and Data Analysis
  • Workflow System
  • Other operation management software

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Reliability life prediction using Weibull analysis

Free seminar ongoing! A clear introduction to Weibull analysis.

Weibull analysis is a method that uses the number of failures as input to determine the unreliability. Once the unreliability is known, the failure rate and unreliability can also be determined. Our company regularly holds free seminars on Weibull analysis. We provide clear explanations from the basics of reliability data analysis to an overview of Weibull analysis and representative methods. For more details, please check below. https://www.wavefrontsales.com/teikiseminar/weibull/

  • Other electronic parts
  • Other Auto Parts

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Latest Trends and Future Predictions of Generative AI in Manufacturing Industry <Demo Available>

2024 Edition! An explanation of how generative AI is bringing innovation to the manufacturing industry.

Have you ever thought about how the manufacturing industry will change due to generative AI? Right now, various technological revolutions, including generative AI, are bringing significant changes to business around us. In particular, if we seek to improve the efficiency of manufacturing processes, reduce costs, and enhance quality, utilizing generative AI is an unavoidable path. We continue to explore solutions to the various challenges we face in our daily operations. This article will delve into the innovations that generative AI is bringing to the manufacturing industry and how it will change us in the coming years. *For more details about the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

  • Software (middle, driver, security, etc.)

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2023 Edition: Forecast of the Automotive Industry in 2040

Changes in the environment surrounding the automotive industry and demand forecasts, globalization of the automotive industry, electrification, and forecasts for the spread of electric vehicles and technological trends.

The latest edition (2025 version) has been published! https://pr.mono.ipros.com/dri/product/detail/2001092777/ This research report summarizes the results of a survey conducted in collaboration with our company, universities, and professionals from research institutions regarding the changes in the automotive industry's environment leading up to 2040, forecasts for future demand for automobiles, globalization, the trend towards electronics, and the anticipated spread of electric vehicles and technological trends. 【Key Points】 ■ The environment surrounding the automotive industry ■ Demand forecasts for automobiles until 2040 ■ Directions and perspectives of car manufacturers and parts manufacturers towards 2040 ■ Future predictions for electric vehicles, plug-in hybrid vehicles, fuel cell vehicles, and other electrified vehicles ■ Technological trends centered on car electronics and autonomous driving systems ■ Trends in global strategic vehicles among various car manufacturers

  • Other Auto Parts

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2025 Edition: Forecast of the Automotive Industry in 2050

Changes in the environment surrounding the automotive industry by 2050 and future demand forecasts for automobiles.

This research report summarizes the changes in the environment surrounding the automotive industry up to 2050, forecasts for future demand for automobiles, globalization of the automotive industry, the trend towards electronics, predictions for the proliferation of electric vehicles, and technological trends. It is based on research conducted by Sogo Giken Co., Ltd., a market research company specializing in the automotive sector, in collaboration with professionals from universities and research institutions. 【Research Items】 1. Environment surrounding the automotive industry 2. Current status and forecasts of automobile production numbers 3. Automotive markets in Japan, the United States, Europe, Asia, etc. 4. Current status and forecasts of Japan's automobile export numbers 5. Forecasts for the number of vehicles owned 6. Vehicle composition forecast for 2050 7. Forecasts for various equipment 8. Trends and developments of car manufacturers 9. Technological innovations 10. Materials 11. Trends in SDV (Software-Defined Vehicle) development 【Research Targets】 - General car manufacturers - Major automotive parts manufacturers - Major overseas manufacturers - Government agencies and related research institutions Report details: https://www.dri.co.jp/auto/report/sg/sgautoind.html

  • Other Auto Parts

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