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Description
This Bundle Includes Three Subjects (Videos + Notes ):
DSIP (Digital Signal and Image Processing): Includes Sums and Theoretical Concept Both
AISC (Artificial Intelligence and Soft Computing): Includes Sums and Theoretical Concept Both
MCC (Mobile Communication and Computing): Includes Theoretical Concept
What we Provide : 1) Video Lectures in Hindi ( taking the complicated concept to very Basic Level )
2) Topper Solution Notes ( The Best Paper solution in the Market )
3) How to Pass strategy (The Best course in Mumbai university which provides and video lectures and notes all at one place according to your syllabus )
Course Validity: Current Semester if Exams get postponed your validity will Extend too so not to worry about it.No items in this section -
Digital Signal and Image Processing
- How to Pass DSIP Importance + Strategy
- Introduction to Digital Signal Processing
- Determine signal is periodic or aperiodic
- Determine signal is linear or non-linear
- Determine Signal is Time varient or Invarient
- Determine Signal is Static or Dynamic
- Determine Signal is Causal or Non Causal
- Determine Signal is Stable and unstable
- Find Linear Convolution Part #1
- Find Linear Convolution Part #2
- Circular Convolution
- Cross Correlation and Auto Correlation
- Energy and Power Signal
- Types of Signals
- Stability Sum (find the range of linear time invariant signal for which impulse response is stable)
- Output response (0.3 delta wala sum )
- Introduction to DFT
- DFT(Discrete fourier transform) properties
- Sum based on DFT properties
- DFT Matrix Method
- 8 point matrix method
- DIT-FFT(Decimation in time fast fourier transform)
- Doubt solving ( 1 video me saare doubt clear )
- Introduction to Image Processing
- Image File Format
- Bitmap Image File Format
- JPEG Image File Format
- Tagged Image File Format (TIFF)
- Gray Level Transformation
- Zero memory Point Operation
- Histogram Equalization
- Region Growing in Image Segmentation
- Region Splitting in Image Segmentation
- Region Merging in Image Segmentation
- Convolution , Mask and Filtering
- Edge Detection
- Prewitt and Sobel Mask
- Robinson and Kirsch Mask
- Laplacian Filter
- Connectivity ( 4 , 8 and M connectivity )
- Discontinuities in Image Segmentation
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Artificial Intelligence and Soft Computing
- How to Pass AISC
- Agent and Peas Description
- Types of Agent
- Learning Agent
- Learning and Types of Learning
- Soft computing vs Hard computing and Supervised learning vs Unsupervised Learning
- BFS ( Breadth First Search ) Algorithm with solved Example
- DFS ( Depth First Search ) Algorithm with solved Example
- IDFS ( Iterative Depth First Search ) Algorithm with solved Example
- GBFS Solved Example
- A Star solved Example
- Hill Climbing
- Min Max Solved Example
- Alpha-Beta Pruning Solved Example
- Genetic Algorithm
- Genetic Algorithm Max one Problem Solved Example
- Propositional Logic (PL) Introduction
- PL to CNF conversion With Solved Example
- First-Order Logic (FOL) Solved Example
- Resolution Tree Sum Part #1
- Resolution Tree Sum Part #2
- Partial Order Planning with Example
- Introduction to Fuzzy Logic
- Fuzzification and De-Fuzzification
- Properties and Operation of Crisp and Fuzzy Sets
- Crisp and Fuzzy Sets and Relations
- Fuzzy Membership Function
- Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example
- Introduction to ANN and structure of ANN
- Mc-Culloch-Pitts Neural Model
- Neural Network Architecture
- Perceptron Learning (with solved example)
- Activation functions in ANN (Discrete and Continuous)
- Backpropagation Network (with solved example)
- Self Organizing Maps and KSOMs
- Introduction to Hybrid System
- Neuro-Fuzzy System (Co-Operative and General NFS)
- Fuzzy Inference System
- Expert System
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Mobile Communication and Computing
- Introduction to Mobile Computing
- GPRS Architecture
- GSM architecture
- Multiplexing
- GEO MEO LEO Types of satellite Orbit
- Handover and Types of Handover
- Privacy and Authentication in GSM
- Types of Handoffs and Handover
- Mobile IP and Packet through tunnel working
- 3G UMTS architecture
- Wireless local loop
- PSTN Architecture
- Cellular IP Standard
- Bluetooth architecture
- Android architecture
- 4G architecture
- Frequency reuse concept in cellular system
- Macro Mobility- MIPv6 and FMIPv6
- Micro Mobility- HAWAII Architecture
- Micro Mobility- HMIPv6 Hierarchical MIPv6
- IP Address vs MAC Address
- IPv4 Header Format
- IPv6
- IPv4 vs IPv6
- SAE/LTE Architecture Part #1
- SAE/LTE Architecture Part #2
- VoLTE
- Self-Organizing Networks (SON) Framework
- IEEE 802.11 Architecture
- IEEE 802.11 Protocol Architecture
- Wifi Security – Wired Equivalent Privacy (WEP)
- Wireless LAN Threats and Security
- WiFi Protected Access
- 5G Introduction
- HiperLAN Type 1
- MCC Importance
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Notes of All Subjects
Agent and Peas Description
Agent and Peas Description
In this video we have explain what is Agent in artificial intelligence and how to write peas description for an agent. We know that there are different types of agents in AI. PEAS System is used to categorize similar agents together. The PEAS system delivers the performance measure with respect to the environment, actuators and sensors of the respective agent. PEAS stands for Performance measure, Environment, Actuator, Sensor.
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