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An SSD (Solid State Drive) is a type of hard drive that uses no moving parts, but rather stores data on Flash chips, similar to a Flash drive or CompactFlash.
Solid State Drive

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How do you connect 555 timer 74192 7447 SSD to have a 0 9 countdown timer?

you must be dirrectly cnnect to 74ls192


What does ssd stand for and which drug is it associated with?

SILVER SULFADIAZINE is a sulfonamide antibiotic. It is used on the skin for second or third degree burns. It helps to prevent or treat serious infection.


How is six sigma defined ssd?

Six Sigma is a data-driven methodology aimed at improving business processes by reducing defects and variability. It utilizes statistical tools and techniques to identify and eliminate the causes of errors, striving for near-perfection in quality. The term "Six Sigma" refers to a statistical measure that indicates that a process is operating at a level where only 3.4 defects occur per million opportunities. This approach emphasizes continuous improvement and customer satisfaction.


What is hardware stack and software stack?

hardware stack - a stack implemented in and entirely managed by hardware, this stack will have dedicated memory and registers in the physical hardware of the system.software stack - a stack implemented with and entirely managed by software, this stack will use a small piece of main RAM and variables declared in the program software (making it much easier to modify if necessary than a hardware stack).


What are the algorithms used in detecting objects in video surveillance?

Object detection in video surveillance typically employs algorithms such as Convolutional Neural Networks (CNNs), You Only Look Once (YOLO), and Single Shot MultiBox Detector (SSD). These algorithms analyze video frames to identify and classify objects in real-time, leveraging techniques like feature extraction and bounding box regression. Additionally, traditional methods like background subtraction and optical flow can also be used for simpler detection tasks. Machine learning models are often trained on large datasets to improve accuracy and efficiency in various surveillance scenarios.