Curriculum
- 5 Sections
- 121 Lessons
- 40 Weeks
Expand all sectionsCollapse all sections
- DescriptionThis 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.0 - Digital Signal and Image Processing41
- 2.1How to Pass DSIP Importance + Strategy17 Minutes
- 2.2Introduction to Digital Signal Processing10 Minutes
- 2.3Determine signal is periodic or aperiodic12 Minutes
- 2.4Determine signal is linear or non-linear6 Minutes
- 2.5Determine Signal is Time varient or Invarient6 Minutes
- 2.6Determine Signal is Static or Dynamic5 Minutes
- 2.7Determine Signal is Causal or Non Causal3 Minutes
- 2.8Determine Signal is Stable and unstable5 Minutes
- 2.9Find Linear Convolution Part #114 Minutes
- 2.10Find Linear Convolution Part #216 Minutes
- 2.11Circular Convolution9 Minutes
- 2.12Cross Correlation and Auto Correlation16 Minutes
- 2.13Energy and Power Signal22 Minutes
- 2.14Types of Signals9 Minutes
- 2.15Stability Sum (find the range of linear time invariant signal for which impulse response is stable)16 Minutes
- 2.16Output response (0.3 delta wala sum )5 Minutes
- 2.17Introduction to DFT13 Minutes
- 2.18DFT(Discrete fourier transform) properties12 Minutes
- 2.19Sum based on DFT properties4 Minutes
- 2.20DFT Matrix Method6 Minutes
- 2.218 point matrix method10 Minutes
- 2.22DIT-FFT(Decimation in time fast fourier transform)16 Minutes
- 2.23Doubt solving ( 1 video me saare doubt clear )30 Minutes
- 2.24Introduction to Image Processing10 Minutes
- 2.25Image File Format10 Minutes
- 2.26Bitmap Image File Format11 Minutes
- 2.27JPEG Image File Format7 Minutes
- 2.28Tagged Image File Format (TIFF)6 Minutes
- 2.29Gray Level Transformation17 Minutes
- 2.30Zero memory Point Operation18 Minutes
- 2.31Histogram Equalization6 Minutes
- 2.32Region Growing in Image Segmentation9 Minutes
- 2.33Region Splitting in Image Segmentation5 Minutes
- 2.34Region Merging in Image Segmentation11 Minutes
- 2.35Convolution , Mask and Filtering17 Minutes
- 2.36Edge Detection8 Minutes
- 2.37Prewitt and Sobel Mask8 Minutes
- 2.38Robinson and Kirsch Mask5 Minutes
- 2.39Laplacian Filter7 Minutes
- 2.40Connectivity ( 4 , 8 and M connectivity )15 Minutes
- 2.41Discontinuities in Image Segmentation9 Minutes
- Artificial Intelligence and Soft Computing39
- 3.1How to Pass AISC18 Minutes
- 3.2Agent and Peas Description7 Minutes
- 3.3Types of Agent8 Minutes
- 3.4Learning Agent8 Minutes
- 3.5Learning and Types of Learning6 Minutes
- 3.6Soft computing vs Hard computing and Supervised learning vs Unsupervised Learning10 Minutes
- 3.7BFS ( Breadth First Search ) Algorithm with solved Example5 Minutes
- 3.8DFS ( Depth First Search ) Algorithm with solved Example3 Minutes
- 3.9IDFS ( Iterative Depth First Search ) Algorithm with solved Example3 Minutes
- 3.10GBFS Solved Example7 Minutes
- 3.11A Star solved Example13 Minutes
- 3.12Hill Climbing4 Minutes
- 3.13Min Max Solved Example6 Minutes
- 3.14Alpha-Beta Pruning Solved Example13 Minutes
- 3.15Genetic Algorithm5 Minutes
- 3.16Genetic Algorithm Max one Problem Solved Example8 Minutes
- 3.17Propositional Logic (PL) Introduction7 Minutes
- 3.18PL to CNF conversion With Solved Example9 Minutes
- 3.19First-Order Logic (FOL) Solved Example5 Minutes
- 3.20Resolution Tree Sum Part #18 Minutes
- 3.21Resolution Tree Sum Part #214 Minutes
- 3.22Partial Order Planning with Example11 Minutes
- 3.23Introduction to Fuzzy Logic4 Minutes
- 3.24Fuzzification and De-Fuzzification6 Minutes
- 3.25Properties and Operation of Crisp and Fuzzy Sets5 Minutes
- 3.26Crisp and Fuzzy Sets and Relations11 Minutes
- 3.27Fuzzy Membership Function8 Minutes
- 3.28Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example33 Minutes
- 3.29Introduction to ANN and structure of ANN6 Minutes
- 3.30Mc-Culloch-Pitts Neural Model3 Minutes
- 3.31Neural Network Architecture5 Minutes
- 3.32Perceptron Learning (with solved example)11 Minutes
- 3.33Activation functions in ANN (Discrete and Continuous)4 Minutes
- 3.34Backpropagation Network (with solved example)19 Minutes
- 3.35Self Organizing Maps and KSOMs10 Minutes
- 3.36Introduction to Hybrid System4 Minutes
- 3.37Neuro-Fuzzy System (Co-Operative and General NFS)8 Minutes
- 3.38Fuzzy Inference System7 Minutes
- 3.39Expert System10 Minutes
- Mobile Communication and Computing36
- 4.1Introduction to Mobile Computing6 Minutes
- 4.2GPRS Architecture9 Minutes
- 4.3GSM architecture20 Minutes
- 4.4Multiplexing8 Minutes
- 4.5GEO MEO LEO Types of satellite Orbit3 Minutes
- 4.6Handover and Types of Handover6 Minutes
- 4.7Privacy and Authentication in GSM8 Minutes
- 4.8Types of Handoffs and Handover6 Minutes
- 4.9Mobile IP and Packet through tunnel working5 Minutes
- 4.103G UMTS architecture5 Minutes
- 4.11Wireless local loop6 Minutes
- 4.12PSTN Architecture5 Minutes
- 4.13Cellular IP Standard6 Minutes
- 4.14Bluetooth architecture6 Minutes
- 4.15Android architecture16 Minutes
- 4.164G architecture18 Minutes
- 4.17Frequency reuse concept in cellular system9 Minutes
- 4.18Macro Mobility- MIPv6 and FMIPv68 Minutes
- 4.19Micro Mobility- HAWAII Architecture7 Minutes
- 4.20Micro Mobility- HMIPv6 Hierarchical MIPv66 Minutes
- 4.21IP Address vs MAC Address9 Minutes
- 4.22IPv4 Header Format13 Minutes
- 4.23IPv611 Minutes
- 4.24IPv4 vs IPv610 Minutes
- 4.25SAE/LTE Architecture Part #112 Minutes
- 4.26SAE/LTE Architecture Part #27 Minutes
- 4.27VoLTE9 Minutes
- 4.28Self-Organizing Networks (SON) Framework8 Minutes
- 4.29IEEE 802.11 Architecture9 Minutes
- 4.30IEEE 802.11 Protocol Architecture11 Minutes
- 4.31Wifi Security – Wired Equivalent Privacy (WEP)9 Minutes
- 4.32Wireless LAN Threats and Security9 Minutes
- 4.33WiFi Protected Access6 Minutes
- 4.345G Introduction8 Minutes
- 4.35HiperLAN Type 18 Minutes
- 4.36MCC Importance13 Minutes
- Notes of All Subjects5
Types of Agent
Types of Agent
An intelligent agent (IA) is an entity that makes a decision, that enables artificial intelligence to be put into action. It can also be described as a software entity that conducts operations in the place of users or programs after sensing the environment. It uses actuators to initiate action in that environment.
In this video we have explain the different types of Agent in Details
- Simple reflex Agent
- Model Based Agent
- Goal Based Agent
- Utility Based Agent
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