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The Future Agriculture Industry with Artificial
Intelligence (AI) based TechnologyAuthor: Umakant Bhaskar Gohatre
AI (Artificial Intelligence) in agriculture refers to the use of advanced technologies and algorithms to
improve various aspects of farming and crop management. It involves leveraging data, machine
learning, computer vision, and other AI techniques to optimize agricultural processes, increase
productivity, reduce resource waste, and make informed decisions. Here are some key applications of
AI in agriculture
1. Crop Monitoring and Disease Detection:
• AI can analyze data from various sources such as satellite imagery, drones, and IoT
sensors to monitor crop health and detect diseases, pests, or nutrient deficiencies.
• Machine learning algorithms can process large datasets to identify patterns and
indicators of crop stress, enabling early intervention and targeted treatment.
2. Precision Farming:
• AI-based systems can collect and analyze data on soil conditions, weather patterns, and
historical crop performance to optimize planting, irrigation, fertilization, and pesticide
application.
• By integrating data from sensors, drones, and other devices, AI can provide real-time
recommendations for precise and site-specific farming practices, reducing costs and
environmental impact.
3. Autonomous Farming:
• Powered robots and autonomous vehicles can perform tasks such as planting,
harvesting, and weeding with precision and efficiency.
• Computer vision algorithms enable machines to identify and differentiate between crops,
weeds, and other objects in the field, allowing for targeted actions and selective
treatments.
4. Yield Prediction and Forecasting:
• By analysing historical data, weather patterns, and other factors, AI algorithms can
predict crop yields, helping farmers make better decisions regarding planting schedules,
resource allocation, and market planning.
5. Livestock Monitoring
• AI-based systems can monitor the health and behavior of livestock using computer
vision and sensor technologies.
• Facial recognition and behavioral analysis can identify individual animals, detect signs
of distress or illness, and optimize feeding and breeding programs.
6. Supply Chain Optimization:
• AI can optimize the logistics and supply chain management in agriculture, improving
traceability, reducing waste, and enhancing efficiency.
• Predictive analytics can help anticipate market demand, optimize transportation routes,
and streamline inventory management.
7. Decision Support Systems:
• AI can provide farmers with decision support tools, analyzing complex data and
providing actionable insights.
• By considering multiple factors such as weather, market prices, and historical data, AI
systems can recommend optimal planting strategies, input management, and risk
mitigation measures.
The integration of AI in agriculture holds great potential to address the challenges faced by the industry,Artificial Intelligence (AI) application in Agriculture Area 
Artificial Intelligence (AI) application in Agriculture Area Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
CMOS (complementary metal oxide semiconductor) technology continues to be the
dominant technology for fabricating integrated circuits (ICs or chips). This dominance
will likely continue for the next 25 years and perhaps even longer. Why? CMOS
technology is reliable, manufacturable, low power, low cost, and, perhaps most
importantly, scalable. The fact that silicon integrated circuit technology is scalable was
observed and described in 1965 by Intel founder Gordon Moore. His observations are
now referred to as Moore's law and state that the number of devices on a chip will double
every 18 to 24 months. While originally not specific to CMOS, Moore's law has been
fulfilled over the years by scaling down the feature size in CMOS technology. Whereas
the gate lengths of early CMOS transistors were in the micrometer range (long-channel
devices) the feature sizes of current CMOS devices are in the nanometer range
(short-channel devices).
To encompass both the long- and short-channel CMOS technologies in this book,
a two-path approach to custom CMOS integrated circuit design is adopted. Design
techniques are developed for both and then compared. This comparison gives readers
deep insight into the circuit design process. While the square-law equations used to
describe MOSFET operation that students learn in an introductory course in
microelectronics can be used for analog design in a long-channel CMOS process they are
not useful when designing in short-channel, or nanometer, CMOS technology. The
behavior of the devices in a nanometer CMOS process is quite complex. Simple
equations to describe the devices' behavior are not possible. Rather electrical plots are
used to estimate biasing points and operating behavior. It is still useful, however, for the
student to use mathematical rigor when learning circuit analysis and design and, hence,
the reason for the two-path approach. Hand calculations can be performed using a
long-channel CMOS technology with the results then used to describe how to design in a
nano-CMOS process. VLSI Design Book CMOS_Circuit_Design__Layout__and_Simulation
VLSI Design Book CMOS_Circuit_Design__Layout__and_SimulationSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Question Bank: Network Management in TelecommunicationModule 1: Introduction of Network Management
1] What problem would you expect the NMS to resolve, and how?
2] What are the Challenges of IT Manager?
3] Explain trouble ticket administration?
4] Draw Network Management Dumb bell architecture.
5] In absence of a sophisticated NMS, explain the methods used for Management in an
organization.
6] List some common network problems.
7] Why NMS is required?
8] Draw the Dumbbell architecture for Network management.
9] What is the goal of Network Management?Question Bank: Network Management in Telecommunication
Question Bank: Network Management in TelecommunicationSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Pre 1990: People are not connected
1990: Connecting People to Information1990: Connecting People to Information
2000: Connecting People to People2000: Connecting People to PeoplINTRODUCTION TO CYBER LAW The Concept of Cyberspace Cyber law Cyber crime.pdf
INTRODUCTION TO CYBER LAW The Concept of Cyberspace Cyber law Cyber crime.pdfSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Table of Contents
Copyright
Endorsements
Preface
About the Author
Plitt J: Background
Oiapt« 1. Data Communications and Networl< Management Overview
Section 1.1. Analogy cl Telephone Network Management
Section 1.2. Data (Computer) and Telea>mmunicatlon Network
Section 1.3. Distributed CCmputing Environment
Section 1.4. TCP/IP-Based Networks: Internet and Intranet
Section 1.5. Communication Protocols and Standards
Section 1.6. Networks, Systems, and Services
Section 1.7. case Histories on Network, System, ard Servics Management
Section 1.8. Challenges of IT Managers
Section 1.9. Network Management : Goals, Organization, and Functions
Section 1.10. Network Management Architecture and Organization
Section 1.11. Network Management Perspectives
Section 1.1.2. NMS Platform
Section 1.13. CUrrent Status and Future cl Network Mana{jement
Summary
Exercises
Chapter 2. Review of Information Nelwor1< and TechnologNetwork Management Principles and Practice - 2nd Edition (2010)_2.pdf
Network Management Principles and Practice - 2nd Edition (2010)_2.pdfSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Mini Project fo BE Engineering students Smt. Indira Gandhi College of Engineering,
Navi Mumbai
Department of Electronics and Telecommunication Engineering
Subject In charge: Umakant Bhaskar Gohatre, Assistant Professor
List of Mini Projects:
• Water Level Controller using 8051 Microcontroller: Here we are designing the
circuit which is used to detect and control the water level automatically in overhead
tank using 8051 microcontroller. It is used in industries to control the liquid level
automatically.
• Password Based Door Lock System using 8051 Microcontroller: This system
demonstrates a password based door lock system wherein once the correct code or
password is entered, the door is opened and the concerned person is allowed access to
the secured area. After some time, the door would be closed. Read this post completely
to get more information.
• Car Parking Guard Circuit Using Infrared Sensor: This circuit helps the person in
the driving seat in such a way that it gives an alarm if there is any obstacle or a wall
while parking or while driving in reverse. It is very useful in our real life.
• Battery Charger Circuit Using SCR: Here is the circuit diagram of battery charger
circuit using Silicon Controlled Rectifier. SCR can be used in half wave rectifier, full
wave rectifier, inverter circuits, power control circuits, etc.
• Interfacing GPS with 8051 Microcontroller: In this interfacing of GPS with 8051
circuit, GPS module calculates the position by reading the signals that are transmitted
by satellites.
• Speed Control of DC Motor Using Pulse Width Modulation: This pulse width
modulation technique is the more efficient way to proceed to manage the speed of our
DC motor manually.
• • Metal Detector Circuit: This is a simple metal detector circuit which is very useful
for checking the person in shopping malls, hotels, cinema halls to ensure that person is
not carrying any explosive metals or illegal things like guns, bombs etc.Mini Project fo BE Engineering students
Mini Project fo BE Engineering students Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Recommended
The Future Agriculture Industry with Artificial
Intelligence (AI) based TechnologyAuthor: Umakant Bhaskar Gohatre
AI (Artificial Intelligence) in agriculture refers to the use of advanced technologies and algorithms to
improve various aspects of farming and crop management. It involves leveraging data, machine
learning, computer vision, and other AI techniques to optimize agricultural processes, increase
productivity, reduce resource waste, and make informed decisions. Here are some key applications of
AI in agriculture
1. Crop Monitoring and Disease Detection:
• AI can analyze data from various sources such as satellite imagery, drones, and IoT
sensors to monitor crop health and detect diseases, pests, or nutrient deficiencies.
• Machine learning algorithms can process large datasets to identify patterns and
indicators of crop stress, enabling early intervention and targeted treatment.
2. Precision Farming:
• AI-based systems can collect and analyze data on soil conditions, weather patterns, and
historical crop performance to optimize planting, irrigation, fertilization, and pesticide
application.
• By integrating data from sensors, drones, and other devices, AI can provide real-time
recommendations for precise and site-specific farming practices, reducing costs and
environmental impact.
3. Autonomous Farming:
• Powered robots and autonomous vehicles can perform tasks such as planting,
harvesting, and weeding with precision and efficiency.
• Computer vision algorithms enable machines to identify and differentiate between crops,
weeds, and other objects in the field, allowing for targeted actions and selective
treatments.
4. Yield Prediction and Forecasting:
• By analysing historical data, weather patterns, and other factors, AI algorithms can
predict crop yields, helping farmers make better decisions regarding planting schedules,
resource allocation, and market planning.
5. Livestock Monitoring
• AI-based systems can monitor the health and behavior of livestock using computer
vision and sensor technologies.
• Facial recognition and behavioral analysis can identify individual animals, detect signs
of distress or illness, and optimize feeding and breeding programs.
6. Supply Chain Optimization:
• AI can optimize the logistics and supply chain management in agriculture, improving
traceability, reducing waste, and enhancing efficiency.
• Predictive analytics can help anticipate market demand, optimize transportation routes,
and streamline inventory management.
7. Decision Support Systems:
• AI can provide farmers with decision support tools, analyzing complex data and
providing actionable insights.
• By considering multiple factors such as weather, market prices, and historical data, AI
systems can recommend optimal planting strategies, input management, and risk
mitigation measures.
The integration of AI in agriculture holds great potential to address the challenges faced by the industry,Artificial Intelligence (AI) application in Agriculture Area
Artificial Intelligence (AI) application in Agriculture Area Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
CMOS (complementary metal oxide semiconductor) technology continues to be the
dominant technology for fabricating integrated circuits (ICs or chips). This dominance
will likely continue for the next 25 years and perhaps even longer. Why? CMOS
technology is reliable, manufacturable, low power, low cost, and, perhaps most
importantly, scalable. The fact that silicon integrated circuit technology is scalable was
observed and described in 1965 by Intel founder Gordon Moore. His observations are
now referred to as Moore's law and state that the number of devices on a chip will double
every 18 to 24 months. While originally not specific to CMOS, Moore's law has been
fulfilled over the years by scaling down the feature size in CMOS technology. Whereas
the gate lengths of early CMOS transistors were in the micrometer range (long-channel
devices) the feature sizes of current CMOS devices are in the nanometer range
(short-channel devices).
To encompass both the long- and short-channel CMOS technologies in this book,
a two-path approach to custom CMOS integrated circuit design is adopted. Design
techniques are developed for both and then compared. This comparison gives readers
deep insight into the circuit design process. While the square-law equations used to
describe MOSFET operation that students learn in an introductory course in
microelectronics can be used for analog design in a long-channel CMOS process they are
not useful when designing in short-channel, or nanometer, CMOS technology. The
behavior of the devices in a nanometer CMOS process is quite complex. Simple
equations to describe the devices' behavior are not possible. Rather electrical plots are
used to estimate biasing points and operating behavior. It is still useful, however, for the
student to use mathematical rigor when learning circuit analysis and design and, hence,
the reason for the two-path approach. Hand calculations can be performed using a
long-channel CMOS technology with the results then used to describe how to design in a
nano-CMOS process. VLSI Design Book CMOS_Circuit_Design__Layout__and_Simulation
VLSI Design Book CMOS_Circuit_Design__Layout__and_SimulationSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Question Bank: Network Management in TelecommunicationModule 1: Introduction of Network Management
1] What problem would you expect the NMS to resolve, and how?
2] What are the Challenges of IT Manager?
3] Explain trouble ticket administration?
4] Draw Network Management Dumb bell architecture.
5] In absence of a sophisticated NMS, explain the methods used for Management in an
organization.
6] List some common network problems.
7] Why NMS is required?
8] Draw the Dumbbell architecture for Network management.
9] What is the goal of Network Management?Question Bank: Network Management in Telecommunication
Question Bank: Network Management in TelecommunicationSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Pre 1990: People are not connected
1990: Connecting People to Information1990: Connecting People to Information
2000: Connecting People to People2000: Connecting People to PeoplINTRODUCTION TO CYBER LAW The Concept of Cyberspace Cyber law Cyber crime.pdf
INTRODUCTION TO CYBER LAW The Concept of Cyberspace Cyber law Cyber crime.pdfSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Table of Contents
Copyright
Endorsements
Preface
About the Author
Plitt J: Background
Oiapt« 1. Data Communications and Networl< Management Overview
Section 1.1. Analogy cl Telephone Network Management
Section 1.2. Data (Computer) and Telea>mmunicatlon Network
Section 1.3. Distributed CCmputing Environment
Section 1.4. TCP/IP-Based Networks: Internet and Intranet
Section 1.5. Communication Protocols and Standards
Section 1.6. Networks, Systems, and Services
Section 1.7. case Histories on Network, System, ard Servics Management
Section 1.8. Challenges of IT Managers
Section 1.9. Network Management : Goals, Organization, and Functions
Section 1.10. Network Management Architecture and Organization
Section 1.11. Network Management Perspectives
Section 1.1.2. NMS Platform
Section 1.13. CUrrent Status and Future cl Network Mana{jement
Summary
Exercises
Chapter 2. Review of Information Nelwor1< and TechnologNetwork Management Principles and Practice - 2nd Edition (2010)_2.pdf
Network Management Principles and Practice - 2nd Edition (2010)_2.pdfSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Mini Project fo BE Engineering students Smt. Indira Gandhi College of Engineering,
Navi Mumbai
Department of Electronics and Telecommunication Engineering
Subject In charge: Umakant Bhaskar Gohatre, Assistant Professor
List of Mini Projects:
• Water Level Controller using 8051 Microcontroller: Here we are designing the
circuit which is used to detect and control the water level automatically in overhead
tank using 8051 microcontroller. It is used in industries to control the liquid level
automatically.
• Password Based Door Lock System using 8051 Microcontroller: This system
demonstrates a password based door lock system wherein once the correct code or
password is entered, the door is opened and the concerned person is allowed access to
the secured area. After some time, the door would be closed. Read this post completely
to get more information.
• Car Parking Guard Circuit Using Infrared Sensor: This circuit helps the person in
the driving seat in such a way that it gives an alarm if there is any obstacle or a wall
while parking or while driving in reverse. It is very useful in our real life.
• Battery Charger Circuit Using SCR: Here is the circuit diagram of battery charger
circuit using Silicon Controlled Rectifier. SCR can be used in half wave rectifier, full
wave rectifier, inverter circuits, power control circuits, etc.
• Interfacing GPS with 8051 Microcontroller: In this interfacing of GPS with 8051
circuit, GPS module calculates the position by reading the signals that are transmitted
by satellites.
• Speed Control of DC Motor Using Pulse Width Modulation: This pulse width
modulation technique is the more efficient way to proceed to manage the speed of our
DC motor manually.
• • Metal Detector Circuit: This is a simple metal detector circuit which is very useful
for checking the person in shopping malls, hotels, cinema halls to ensure that person is
not carrying any explosive metals or illegal things like guns, bombs etc.Mini Project fo BE Engineering students
Mini Project fo BE Engineering students Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Mini Project for Engineering Students BE or Btech Engineering students Smt. Indira Gandhi College of Engineering,
Navi Mumbai
Department of Electronics and Telecommunication Engineering
Subject In charge: Umakant Bhaskar Gohatre, Assistant Professor
List of Mini Projects:
• Fire Alarm with Siren Sound: This circuit alerts us when there is a fire accident at home
by ringing a siren sound instead of a buzzer.
• Mosquito Repellent Circuit: Here is the simple electronic mosquito repellent circuit which
can produce ultrasound in the frequency range of 20-38 kHz, which can scare away mosquitoes.
• Electronic Letter Box: This is a simple circuit which helps in finding out any letter dropped
in our box by stopping the LED lights attached in this circuit.
• Dummy Alarm Circuit: The main principle of the circuit is to flash an LED for every 5
seconds. The circuit consists of 7555 timer IC as main component.
• DTMF Based Home Automation System Circuit: This is a simple and very useful circuit
in our real life named DTMF controlled home appliances system. It helps to control the home
appliances using DTMF technology.
• Ding Dong Sound Generator Circuit: This is ding dong sound generator circuit is designed
using 555 timer IC in astable mode. It can be used as doorbell. With some modifications, it can
be used to produce different sounds. Read this post for complete details.
• Digital Voltmeter Circuit using ICL7107: Here we designed a analog to digital converter
working as a digital voltmeter using a low power three and half digit A/D converter ICL7107
having internal 7 segment decoders, display drivers, a reference and a clock.
• Digital Temperature Sensor: The main principle of this circuit is to display the digital
temperature value. These are mainly used in environmental applications.
• Digital Stopwatch Circuit: This is a simple circuit that displays count from 0 to 59,
representing a 60 second time interval. It consists of a 555 timer to produce the clock pulses
and two counter ICs to carry out the counting operation.
• Basic Logic Gates Using NAND Gate: We are all well known that NOT, AND, OR are the
basic logic gates. Here we have shown how to design these basic logic gates using one of the
universal gates – NAND Gate.Mini Project for Engineering Students BE or Btech Engineering students
Mini Project for Engineering Students BE or Btech Engineering students Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Lab manual for Educational Purpose, Subject: VLSI Design VLSI Design_LAB MANUAL By Umakant Gohatre
VLSI Design_LAB MANUAL By Umakant GohatreSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Introduction
Cyber Crime
- What Is Cyber Crime?
- Types Of Cyber Crime
Cyber Security
- What Is Cyber Security?
- Top Seven Cyber Safety Actions
- Cyber Safety At Work & Homcyber crime, Cyber Security, Introduction, Umakant Bhaskar Gohatre
cyber crime, Cyber Security, Introduction, Umakant Bhaskar Gohatre Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Data compression, modelling and coding, Lossless and Lossy Compression, Arithmetic
Coding – Decoding, Dictionary Based Compression, Sliding Window Compression:
LZ-77, LZ-78, LZW.
1.2 Image Compression
DCT, JPEG, JPEG – LS, Differential Lossless Compression, DPCM, JPEG – 2000
Standards.Image Compression, Introduction Data Compression/ Data compression, modelling...
Image Compression, Introduction Data Compression/ Data compression, modelling...Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Introduction to Data Compression
Data compression, modelling and coding, Lossless and Lossy Compression, Arithmetic
Coding – Decoding, Dictionary Based Compression, Sliding Window Compression:
LZ-77, LZ-78, LZW.
1.2 Image Compression
DCT, JPEG, JPEG – LS, Differential Lossless Compression, DPCM, JPEG – 2000
Standards.Introduction Data Compression/ Data compression, modelling and coding,Image C...
Introduction Data Compression/ Data compression, modelling and coding,Image C...Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
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Mini Project for Engineering Students BE or Btech Engineering students Smt. Indira Gandhi College of Engineering,
Navi Mumbai
Department of Electronics and Telecommunication Engineering
Subject In charge: Umakant Bhaskar Gohatre, Assistant Professor
List of Mini Projects:
• Fire Alarm with Siren Sound: This circuit alerts us when there is a fire accident at home
by ringing a siren sound instead of a buzzer.
• Mosquito Repellent Circuit: Here is the simple electronic mosquito repellent circuit which
can produce ultrasound in the frequency range of 20-38 kHz, which can scare away mosquitoes.
• Electronic Letter Box: This is a simple circuit which helps in finding out any letter dropped
in our box by stopping the LED lights attached in this circuit.
• Dummy Alarm Circuit: The main principle of the circuit is to flash an LED for every 5
seconds. The circuit consists of 7555 timer IC as main component.
• DTMF Based Home Automation System Circuit: This is a simple and very useful circuit
in our real life named DTMF controlled home appliances system. It helps to control the home
appliances using DTMF technology.
• Ding Dong Sound Generator Circuit: This is ding dong sound generator circuit is designed
using 555 timer IC in astable mode. It can be used as doorbell. With some modifications, it can
be used to produce different sounds. Read this post for complete details.
• Digital Voltmeter Circuit using ICL7107: Here we designed a analog to digital converter
working as a digital voltmeter using a low power three and half digit A/D converter ICL7107
having internal 7 segment decoders, display drivers, a reference and a clock.
• Digital Temperature Sensor: The main principle of this circuit is to display the digital
temperature value. These are mainly used in environmental applications.
• Digital Stopwatch Circuit: This is a simple circuit that displays count from 0 to 59,
representing a 60 second time interval. It consists of a 555 timer to produce the clock pulses
and two counter ICs to carry out the counting operation.
• Basic Logic Gates Using NAND Gate: We are all well known that NOT, AND, OR are the
basic logic gates. Here we have shown how to design these basic logic gates using one of the
universal gates – NAND Gate.Mini Project for Engineering Students BE or Btech Engineering students
Mini Project for Engineering Students BE or Btech Engineering students Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Lab manual for Educational Purpose, Subject: VLSI Design VLSI Design_LAB MANUAL By Umakant Gohatre
VLSI Design_LAB MANUAL By Umakant GohatreSmt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Introduction
Cyber Crime
- What Is Cyber Crime?
- Types Of Cyber Crime
Cyber Security
- What Is Cyber Security?
- Top Seven Cyber Safety Actions
- Cyber Safety At Work & Homcyber crime, Cyber Security, Introduction, Umakant Bhaskar Gohatre
cyber crime, Cyber Security, Introduction, Umakant Bhaskar Gohatre Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Data compression, modelling and coding, Lossless and Lossy Compression, Arithmetic
Coding – Decoding, Dictionary Based Compression, Sliding Window Compression:
LZ-77, LZ-78, LZW.
1.2 Image Compression
DCT, JPEG, JPEG – LS, Differential Lossless Compression, DPCM, JPEG – 2000
Standards.Image Compression, Introduction Data Compression/ Data compression, modelling...
Image Compression, Introduction Data Compression/ Data compression, modelling...Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
Introduction to Data Compression
Data compression, modelling and coding, Lossless and Lossy Compression, Arithmetic
Coding – Decoding, Dictionary Based Compression, Sliding Window Compression:
LZ-77, LZ-78, LZW.
1.2 Image Compression
DCT, JPEG, JPEG – LS, Differential Lossless Compression, DPCM, JPEG – 2000
Standards.Introduction Data Compression/ Data compression, modelling and coding,Image C...
Introduction Data Compression/ Data compression, modelling and coding,Image C...Smt. Indira Gandhi College of Engineering, Navi Mumbai, Mumbai
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