Abstract: Machine learning techniques in pre-clinical research opens opportunity towards a more predictive and efficient drug development. The research work advances machine learning techniques ...

Abstract: In the competitive retail sector, enterprises must be able to anticipate their clientele's behaviours. This research aims to enhance the precision of customer behaviour predictions by ...

Spend a few minutes with someone in EMS, fire service, or healthcare, and you’ll likely hear some version of the same concerns: call volumes increasing, crews stretched thin, and many of the systems ...

2025 was a rough year for Seattle Mariners starting pitcher Bryce Miller. The righty struggled with injuries and inconsistency throughout the year, ending with a 4-6 record and 5.68 ERA. In a recent ...

Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ship systems. The technology helps ensure reliability across the entire ...

Governments utilize blockchain analytics to trace crypto transactions by leveraging on-chain transparency and off-chain data, enabling the identification of illicit patterns and real-world ...

As extreme weather and wildfire risk continue to threaten utility infrastructure across North America, many grid operators are rethinking how they identify and manage ignition hazards. Drones are ...

AI market forecasting is reshaping how organizations anticipate demand, risk, and opportunity by processing massive volumes of structured and unstructured data in near real time. Modern systems ingest ...

Predictive analytics has become one of the most practical technologies shaping modern business strategy. While it is often grouped with advanced AI or experimental data science, its real value shows ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...