
Allicdata Part #: | 0936013928-ND |
Manufacturer Part#: |
0936013928 |
Price: | $ 104.43 |
Product Category: | Uncategorized |
Manufacturer: | Molex, LLC |
Short Description: | 24B STD SURF.HOUS AUT.COV 1LEV H |
More Detail: | N/A |
DataSheet: | ![]() |
Quantity: | 1000 |
5 +: | $ 94.92560 |
Series: | * |
Part Status: | Active |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
0936013928 technology is one of the latest advancements in the field of machine learning. It has gained popularity in recent years due to its ability to quickly and accurately identify and classify objects. This technology is also known as object recognition technology and has a wide range of applications in various fields. In this article, we will discuss the application field and working principle of 0936013928 technology.
Application Field: 0936013928 technology has found applications in a wide variety of fields. It has been used in medical diagnosis and surgery planning, in surveillance and security systems, in industrial automation, in automated vehicle monitoring, and in many other industries. In medical diagnosis, it can be used to accurately detect tumors in medical scans, in the surveillance and security systems, it can be used to identify and classify objects in a video feed, and in the industrial automation, it can be used to detect defects in factory production lines.
Working Principle: 0936013928 technology works by using a deep neural network (DNN) model that is trained on a dataset. This dataset contains images or videos of objects that are classified according to a specific criteria. The model then learns how to identify and classify the objects in the dataset by comparing them to its training data. After the training process is complete, the model can then be used to accurately identify and classify objects from a given image or video, in real-time.
The working principle of 0936013928 technology can also be described using the concept of convolutional neural networks (CNNs). Convolutional neural networks are a type of deep learning network whereby a network of neurons form a two-dimensional grid, and connection weights exist between adjacent neurons. Convolutional neural networks are well suited for 0936013928 technology as they are able to identify more complex patterns than traditional neural networks, and are able to classify objects with near-perfect accuracy.
0936013928 technology has a wide range of applications and has the potential to revolutionize a number of industries. In the medical field, it can be used to diagnose diseases and perform surgeries with improved accuracy, in the surveillance and security field, it can be used to identify potential threats in real-time, and in the industrial automation field, it can be used to detect errors in production lines. Additionally, the working principle of 0936013928 technology is relatively easy to understand, making it a valuable asset to any organization.
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Part Number | Manufacturer | Price | Quantity | Description |
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0936040153 | Molex, LLC | 6.43 $ | 1000 | BOX ALUM GRAY 1.97"L X 1.... |
0936070033 | Molex, LLC | 0.47 $ | 1000 | SCREW M3X6 COPPER PLATED |
0936070056 | Molex, LLC | 0.35 $ | 1000 | SCREW M5X12X BOXS1,S2,S3,... |
0936060393 | Molex, LLC | 76.97 $ | 1000 | CAT 5 IND.CAB 8C PLUG+MET... |
0936012958 | Molex, LLC | 103.74 $ | 1000 | 16B HE SURF.HOUS. AUT.COV... |
0936060363 | Molex, LLC | 105.15 $ | 1000 | CAT 5 IND.CAB 8C PLUG+INS... |
0936011898 | Molex, LLC | 20.31 $ | 1000 | CONN BASE SIDE ENTRY SZ10... |
0936014012 | Molex, LLC | 24.14 $ | 1000 | CONN BASE SIDE ENTRY SZ24... |
0936010099 | Molex, LLC | 8.25 $ | 64 | 25P + PE FEMALE INSERT 10... |
0936010023 | Molex, LLC | 0.19 $ | 1000 | CONTACT H.D. CRIMP PIN 18... |
0936000046 | Molex, LLC | 2.02 $ | 1000 | METAL CABLE GLAND NORMAL ... |
0936011279 | Molex, LLC | 9.11 $ | 1000 | 10B STD BULK.HOUS. 4PGS |
0936012281 | Molex, LLC | 10.21 $ | 1000 | 16B STD BULK.HOUS. 4PGS |
0936014755 | Molex, LLC | 13.9 $ | 1000 | RJ45 PLUG 8P4C P/NET+INS.... |
0936011772 | Molex, LLC | 16.51 $ | 1000 | 10B HEHV HOOD 4PGS LC S/E... |
0936013672 | Molex, LLC | 17.11 $ | 1000 | 24B HV HOOD 4PGS HC S/E P... |
0936013732 | Molex, LLC | 19.15 $ | 1000 | 24B HE HOOD 2PGS LC S/E P... |
0936010790 | Molex, LLC | 19.19 $ | 1000 | 6B STD SURF.HOUS. 2PGS CN... |
0936011700 | Molex, LLC | 19.41 $ | 1000 | 10B STD HOOD 2PGS HC S/E ... |
0936011606 | Molex, LLC | 19.8 $ | 1000 | 10B HV HOOD 2PGS HC T/E P... |
0936011195 | Molex, LLC | 20.59 $ | 1000 | 10A HE HOOD 2PGS HC T/E P... |
0936011235 | Molex, LLC | 24.47 $ | 1000 | 10A EMC HOOD 2PGS HC S/E ... |
0936013633 | Molex, LLC | 25.54 $ | 1000 | 24B HV HOOD 2PGS HC T/E M... |
0936013845 | Molex, LLC | 26.26 $ | 1000 | 24B HEHV COVER W/GKT 2LEV |
0936013876 | Molex, LLC | 29.06 $ | 1000 | 24B HE HOOD 4PGS HC W/O E... |
0936012367 | Molex, LLC | 30.26 $ | 1000 | 16B HV HOOD 2LEV HC S/E P... |
0936013726 | Molex, LLC | 33.99 $ | 1000 | 24B HE HOOD 2PGS HC S/E M... |
0936012438 | Molex, LLC | 35.18 $ | 1000 | 16B HE SURF.HOUS. W/COV 4... |
0936011438 | Molex, LLC | 37.08 $ | 1000 | 10B HEHV SURF.HOUS. W/COV... |
0936011505 | Molex, LLC | 38.39 $ | 1000 | 10B STD HOOD 1LEV-CNTR HC... |
0936030079 | Molex, LLC | 39.21 $ | 1000 | COMPLETE SET M/F 16P/M25 |
0936011974 | Molex, LLC | 40.31 $ | 1000 | 10B HEHV SURF.HOUS. 2LEV ... |
0936012519 | Molex, LLC | 44.97 $ | 1000 | 16B STD HOOD 4PGS HCSQ RI... |
0936010814 | Molex, LLC | 45.14 $ | 1000 | 6B STD HOOD 1LEV-CNTR HCS... |
0936014444 | Molex, LLC | 49.6 $ | 1000 | 32B HEHV HOOD 4PGS HC T/E... |
0936010560 | Molex, LLC | 7.6 $ | 1000 | S-M 16/20 F INS CRP 20P 1... |
0936000473 | Molex, LLC | 0.12 $ | 1000 | NYL LOCKNUT PG9 BK RAL900... |
0936000323 | Molex, LLC | 2.81 $ | 1000 | MET. REDUCER M32-M25 |
0936000072 | Molex, LLC | 3.31 $ | 1000 | 32X13 NYL CABGLAND W/GROM... |
0936010239 | Molex, LLC | 5.29 $ | 1000 | 10B SE M INS SCRWAG 10P 1... |
DIODE GENERAL PURPOSE TO220

CB 6C 6#16 SKT RECP

CA08COME36-3PB-44

CA-BAYONET

CB 6C 6#16S SKT PLUG

CAC 3C 3#16S SKT RECP LINE
