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MotorTrend on MSN2024 BMW X1 M35i Tested: Is a More Powerful X1 Better?The high-performance, M-inspired variant of the newest X1 delivers more punch and more stuff, and (somehow) less satisfaction ...
MIT gave photosynthesis a boost by evolving rubisco to work faster, raising hopes for higher crop yields and more efficient ...
The price of the 2026 Hyundai Elantra is expected to start around $23,500 and go up to $31,500 depending on the trim and ...
New cars have so many different types of active and passive safety systems, not all of which do things like accelerate, brake ...
The Honda City comes equipped with a 20.3 cm advanced touchscreen display audio system, offering an intuitive interface and seamless connectivity features to enhance the ...
He "never thought he'd drive a lame crossover SUV," but after 3,000 miles and 36.4 MPG, his 2025 Honda CR-V Hybrid Sport Touring, with its amazing Bose system, has utterly changed his mind.
To improve the control performance of the permanent magnet synchronous motor (PMSM), a new hybrid reaching law (NHRL) based adaptive sliding mode predictive control (ASMPC) method with improved ...
Traffic on Animas View Drive will be reduced to one-way alternating traffic on Tuesday while the city of Durango installs five speed cushions. The speed cushions will remain in place through the ...
A 2,000-mile road trip hero, yet a daily tech headache. This 2025 Camry XSE owner reveals how advanced safety features saved him, but a persistent Apple CarPlay glitch frustrates every drive.
The reliable manipulation of the speed at which light travels through objects could have valuable implications for the development of various advanced technologies, including high-speed ...
Specifically, we propose a harvesting speed control system that integrates multi-component slip rate monitoring, an improved particle swarm optimization (IPSO)-optimized SVM model for accurate fault ...
This work proposesan adaptive control methodology for a class of time-varying uncertain systems. The goal of this work is to address problems in which the model is known, but the parameters involved ...
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