prediction Product List and Ranking from 19 Manufacturers, Suppliers and Companies | IPROS

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. 電力テクノシステムズ Kanagawa//Electricity, Gas and Water Industry
  2. ソホビービー Tokyo//others
  3. パトコア Tokyo//Information and Communications
  4. 4 データリソース Tokyo//others
  5. 4 DICカラーデザイン Tokyo//Information and Communications
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prediction Product ranking

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. Wind tunnel experiments: Atmospheric dispersion prediction methods for environmental assessment using environmental impact assessment methods. 電力テクノシステムズ
  2. Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI ソホビービー
  3. [English Research Report] 5-Year Forecast for Mobile Core Networks and MEC データリソース
  4. Water solubility prediction "Solubility" predicted with high accuracy! パトコア
  5. 4 What is a trend color? DICカラーデザイン

prediction Product List

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pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation'

pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation'

Calculate the pKa of groups that can be ionized! It can also be used for proteins and other substances.

Our company offers "Protonation Groups" suitable for predictions such as pKa (acid-base dissociation constant). We have a lineup that includes the high-precision pKa calculation program "pKa," the "Microspecies" program for predicting major structures at specific pH levels, and the "Isoelectric Point" program for calculating isoelectric points. 【Lineup】 ■ pKa: High-precision pKa calculation program ■ Microspecies: Predicts major structures at specific pH levels ■ Isoelectric Point: Calculates isoelectric points *For more details, please refer to the PDF materials or feel free to contact us.

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LogP prediction, LogD prediction 'Partitioning'

LogP prediction, LogD prediction 'Partitioning'

Predictions will be made based on the improved methods of Viswanadhan for both logP and logD!

The "Partitioning Group" can predict the pH-dependent logD values in addition to the water/octanol partition coefficient. Predictions are based on the improved methods of Viswanadhan et al. for both logP and logD. The modifications applied include the redefinition of selected atom types (especially sulfur, carbon, nitrogen, and metal atoms) to adjust for electronic delocalization and consideration of ionization forms. 【Features】 ■ Predicts pH-dependent logD values in addition to the water/octanol partition coefficient ■ Predictions are based on the improved methods of Viswanadhan et al. for both logP and logD ■ The logP value of zwitterions is calculated from logD at the isoelectric point ■ Just as logD values are pH-dependent, logD calculations rely on the method for predicting pKa *For more details, please refer to the PDF document or feel free to contact us.

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1H and 13C NMR Spectrum Prediction 'NMR'

1H and 13C NMR Spectrum Prediction 'NMR'

Predict the 1H and 13C NMR spectra of organic compounds!

The prediction of NMR spectra plays an important role in the validation of structures and the description of molecules. The "NMR Group" predicts 1H and 13C NMR spectra for organic compounds. 【Features】 ■ The prediction of NMR spectra plays an important role in the validation of structures and the description of molecules. ■ Predicts 1H and 13C NMR spectra for organic compounds. *For more details, please refer to the PDF document or feel free to contact us.

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Wind tunnel experiments: Atmospheric dispersion prediction methods for environmental assessment using environmental impact assessment methods.

Wind tunnel experiments: Atmospheric dispersion prediction methods for environmental assessment using environmental impact assessment methods.

It can be utilized for various environmental impact assessments, including environmental assessments of power plants such as thermal and geothermal, decentralized power sources, and the diffusion of heat and exhaust gases from heat islands.

Wind tunnel experiments and environmental assessments refer to one of the atmospheric dispersion prediction methods established by the Environmental Impact Assessment Act. This involves placing models of terrain and structures inside a wind tunnel to recreate air flow and conduct experiments to predict the dispersion of exhaust gases released from power plants and waste incineration facilities (cleaning plants). This method is described in the "Guidelines for Environmental Impact Assessment Related to Power Plants," which serves as a guideline for implementing environmental assessments issued by the Ministry of Economy, Trade and Industry. By precisely controlling the temperature and flow velocity of the airflow within the wind tunnel, it is possible to replicate the actual atmospheric flow conditions and measure the behavior of gases and the concentration of smoke dispersion. **Applications** - Airflow analysis and dispersion analysis for various power plants, including thermal, nuclear, and geothermal. - Atmospheric environmental impact assessments in urban areas (such as decentralized power sources and urban warming effects). - Dispersion conditions of exhaust gases released from incineration facilities (cleaning plants). - Visualization experiments of flow fields around modeled buildings. **Features** - Precise reproduction of "temperature distribution, airflow distribution, and airflow turbulence" in the atmosphere. - Visualization of flow fields using smoke and lasers. - Capability to address complex structures that are difficult to replicate in simulations. *Please feel free to contact us through our company website.*

  • Environmental Survey
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[Information] How on-site personnel can start AI demand forecasting.

[Information] How on-site personnel can start AI demand forecasting.

Practical application of highly accurate AI to achieve reductions in waste loss, stock shortages, storage costs, and optimization of personnel.

The use of "AI" as a means for demand forecasting is increasing. However, it is often perceived that utilizing this "AI" is not easy at all. In this document, we introduce "methods and examples of building highly accurate and automated AI using AI" for "practical personnel and planning departments in manufacturing, retail, and distribution industries who feel challenges with the accuracy, workload, and reliance on individuals in demand forecasting." We have summarized the content in a way that is easy to understand even for those without AI knowledge, and we hope that after reading this document, you will be able to actually utilize it as a method for demand forecasting. [Contents (partial)] ■ Understanding demand forecasting with AI ■ How to create demand forecasting AI ■ Current status and key points of AI utilization (Appendix) *For more details, please refer to the PDF document or feel free to contact us.

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Simulation of a massive tsunami and damage prediction expected to occur due to a massive earthquake.

Simulation of a massive tsunami and damage prediction expected to occur due to a massive earthquake.

It is possible to estimate damage and consider countermeasures! An analytical method that can reproduce the behavior of bridges when affected by tsunamis.

Our company has developed an analytical method to reproduce the behavior of bridges when subjected to tsunami effects by applying insights gained from reproduction experiments using a scaled bridge model during tsunami actions, conducting wide-area tsunami propagation analysis (2D tsunami analysis), and 3D tsunami analysis that includes the seabed, topography, and structures. It will be possible to simulate tsunamis caused by anticipated massive earthquakes in the future and utilize this for disaster prevention studies of infrastructure, including bridges. So far, we have conducted reproduction calculations of previous hydraulic experiments targeting bridge superstructures and tsunami reproduction analyses focused on thermal power plants affected by the tsunami from the Great East Japan Earthquake. By comparing the experimental results and actual damage situations, we are verifying the applicability of numerical fluid analysis for evaluating tsunami wave forces acting on various structures. **Features** - Application of insights gained from reproduction experiments using a scaled bridge model during tsunami actions - Ability to estimate damage and consider countermeasures - Useful for disaster prevention studies of infrastructure, including bridges *For more details, please refer to the PDF document or feel free to contact us.*

  • Analysis and prediction system
  • Scientific Calculation and Simulation Software
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What is sales forecasting?

What is sales forecasting?

Overview of sales forecasts, examples of how to create sales forecasts, etc.! A column explaining with a focus on sales forecasts for sales organizations.

In companies and organizations operated for profit, it goes without saying that "sales" significantly influence the management situation. In this article, I would like to reflect on the forecasts related to sales. Please note that this article is not a general explanation for financial professionals, but rather focuses on sales forecasting within sales organizations. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.

  • CRM (Customer Relationship Management System)
  • SFA (Sales Support System)
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Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI

Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI

You can understand future situations from past data! Prediction of pachinko machine outcomes.

In the pachinko industry, customer attrition is accelerating due to structural challenges (such as the removal of high-risk machines, measures against gambling addiction, and the ban on smoking in stores) and the impact of the COVID-19 pandemic, in addition to the digital shift. The industry has reached the limits of management based on experience and requires a new approach. Specific initiatives: 1. Extracting data that has a high correlation with operational data based on the provided data. 2. Predicting the performance of new machines before their introduction based on national data and machine-specific specification data (evaluating appropriate purchase machines). 3. Forecasting the performance of machines for two weeks based on two days of operational data from new machine sales (understanding the appropriate number of machines to install). After implementation, the error in the operational forecast for new machines over three days, which was previously as high as 30% even for veterans, improved to just about 10%. This has achieved a method that does not rely on human labor and can also contribute to appropriate investment decisions. *For more details, please refer to the PDF document or feel free to contact us.

  • Scientific Calculation and Simulation Software
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Prediction of external noise at the window (consideration of sash grade)

Prediction of external noise at the window (consideration of sash grade)

We will design the necessary sash grade for the indoor target values.

It predicts the noise level exposed on the window surface based on the frequency data of the sound source, its position, size, and occurrence frequency, and calculates the necessary sound insulation required to achieve the target value indoors.

  • Other construction services
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[Book] Implementation of Accelerated Testing and Product Life Prediction (No. 2201)

[Book] Implementation of Accelerated Testing and Product Life Prediction (No. 2201)

【Available for preview】★ Lifespan prediction from sparse data and small data! What is the new method to improve accuracy?

Book Title: Implementation of Accelerated Testing and Product Life Prediction Using Models ★ Planning of accelerated testing, setting conditions, and formulating life prediction equations based on material degradation mechanisms! ■ Key Points of This Book ● Planning, implementation, and how to write and read plots for accelerated testing - Calculation methods for coefficients used in life prediction models - How to write and read plots using the Arrhenius model, Eyring model, and Larson-Miller type - How to write and read S-N curves used for applying the Miner rule - Types, characteristics, and usage of accelerated testing equipment ● Life prediction when data collection is challenging, high-precision product life prediction methods - Life estimation using sparse data - Life prediction based on small data - Life prediction through simulation - High-precision product life prediction methods combining analytical instruments and numerical analysis

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Predicting river flooding by combining cellular LPWA and LiDAR.

Predicting river flooding by combining cellular LPWA and LiDAR.

Constantly monitoring river water levels and tidal changes due to tsunamis. Making it possible to predict floods using AI.

A demonstration of an environmental data measurement system combining a cellular LPWA device (Ramble) and LiDAR (Vu8). It is intended for use in monitoring river conditions (water level, turbidity, wave patterns, etc.) and fog detection. The cellular communication employs the LTE-catM1 method (powered by KDDI). (LPWA stands for Low Power Wide Area, a system commonly used in the IoT field.) *Currently, basic knowledge materials on the wireless communication method "cellular LPWA" are available for download as a PDF. 【System Configuration】 ◎LiDAR "Vu8" 　■Lightweight and compact design 　■Fixed beam type with multi-echo capability 　■Detection range of up to 215m ◎Cellular LPWA device "Ramble" 　■Utilizes KDDI's LTE Cat.M1 　■Supports mobile communication 　■Equipped with SPI/I2C/GPIO interfaces *For more details, please refer to the PDF document or feel free to contact us.

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Water solubility prediction "Solubility" predicted with high accuracy!

Water solubility prediction "Solubility" predicted with high accuracy!

High-precision solubility prediction tools are extremely important in the early stages of development!

Solubility is one of the key factors in drug discovery that determines the absorption and distribution of molecules, and it is always a target for optimization. Therefore, high-precision solubility prediction tools are extremely important in the early stages of development. 【Features】 ■ Predicts solubility based on the topology of the input molecule ■ Calculates solubility at various pH levels ■ Convenient for cases where only rough predictions are needed ■ Demonstrated very high-precision prediction results *For more details, please refer to the PDF document or feel free to contact us.

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Environmental assessment and prediction (simulation)

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 predicting atmospheric diffusion considering topographical impacts. 【Service Details (Excerpt)】 ■ Wind damage prediction after condominium construction ■ Wind damage prediction due to topographical changes ■ Atmospheric diffusion prediction considering topographical impacts ■ Road environmental impact assessment ■ Area-based evaluation ■ Continuous environmental monitoring *For more details, please refer to the related links or feel free to contact us.

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Sales Forecasting AI "THE NOVEL"

Sales Forecasting AI "THE NOVEL"

Are you fully utilizing data in your current store opening strategy? An advanced AI that simultaneously executes two analytical methods.

"The Novel" is a sales forecasting AI that can perform both multiple regression analysis and machine learning analysis simultaneously. No data scientists are required, and advanced predictive models can be built from minimal in-house data. All indicators, such as model accuracy, feature importance, and contribution, are explained in an easy-to-understand manner through insights and help formats. Additionally, a model evaluation report for internal explanations can be automatically generated. [Features] ■ Advanced AI that anyone can use ■ Balances "prediction" and "explanation" ■ Continuous model improvement and sharing *For more details, please refer to the related links or feel free to contact us.

  • Analysis and prediction system
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LYNA (Lina) Package Quantity Forecast

LYNA (Lina) Package 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 can be 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" addresses this issue. 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.

  • Logistics and warehouse management systems
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What is a trend color?

What is a trend color?

Decode the colors that reflect the era and capture the target with color design!

"Trend colors" refer to colors that reflect the atmosphere of the times, derived from societal movements and people's psychology. The colors expressed in several color groups based on the overall trend theme are related not only to hues and tones such as red, blue, and beige, but also to material feel, texture, patterns, and shapes. By discussing not just the colors but also the keywords and stories behind them, a worldview is constructed that serves as a hint for future product creation. [Overview] - Colors that are forecasted to reflect societal movements 1 to 2 years ahead. - The prediction of trend colors is key to associations and psychological images related to colors. - Trends emerge from the interplay of color, material, texture, and shape. *For more details, please feel free to contact us.

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Solving the Future Shortage of Doctors: Predicting Risks for Diabetes Patients

Solving the Future Shortage of Doctors: Predicting Risks for Diabetes Patients

Predicting the risks for diabetes patients! Anyone can evaluate using "expert" knowledge, helping to solve 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 candidates for health guidance, which raised the possibility of accountability issues due to incorrect risk assessments. After implementation, the 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 candidates for health guidance. ■ There was a possibility of accountability issues due to 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 document or feel free to contact us.

  • Database
  • prediction

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Quality relevance and lifespan prediction using data mining.

Quality relevance and lifespan prediction using data mining.

Recommended technical proposal for customers considering the measurement of the effectiveness of predictive maintenance and equipment management operations, as well as quality improvement! 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 that inevitably arise 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 or 70 points, rather than aiming for a perfect 100-point system from the outset, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

  • Construction and process management software
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Reliability life prediction using Weibull analysis

Reliability life prediction using Weibull analysis

Free seminar ongoing! An easy-to-understand 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/

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

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 even further, leveraging generative AI is an unavoidable path. We continue to explore solutions to the various challenges we face in our daily operations. In this article, we 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 on the blog, you can view the related links. For more information, please download the PDF or feel free to contact us.*

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[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

Provides market trends for non-NFV and NFV network functions, including revenue, licenses, average selling prices, and regional forecasts for various network functions.

The "Mobile Core Network & Multi-Access Edge Computing 5-Year July Forecast Report" by Dell'Oro Group provides a comprehensive overview of the wireless packet core market, including user plane functions, policy, signaling, subscriber data management, and IMS core MEC, along with historical data up to the present where applicable. This report covers revenue, licenses, average selling prices, and regional forecasts for various network functions, and comprehensively presents market trends by product and market.

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[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

The mobile backhaul transmission market is expected to reach 24.5 billion dollars in the next five years.

The Dell’Oro Group's "Five-Year Forecast Report on Microwave Transmission and Mobile Backhaul" provides comprehensive and detailed information in a table covering manufacturers' revenues, wireless transceivers, and average selling prices. This report tracks front haul and mobile backhaul by cell type (macro and small cell) and technology (wireless and fiber/copper), while the microwave transmission section forecasts point-to-point TDM, packet, hybrid microwave, and complete indoor and complete outdoor unit configurations.

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