8, డిసెంబర్ 2025, సోమవారం
5, డిసెంబర్ 2025, శుక్రవారం
Co,Pos...............
..................Operating System CO1 to CO6" refers to the typical Course Outcomes (COs) for an OS subject, covering foundational concepts (CO1), processes/scheduling (CO2, CO3), memory/file management (CO4, CO5), and advanced topics like Linux/mobile OS (CO6), explaining key OS functions from basics to practical implementations like < process scheduling, memory allocation, file systems, and security.
- CO1: Introduction to OS
- Understanding basic concepts, history, functions, and types (batch, multiprogramming, real-time, distributed) of operating systems.
- CO2: Processes & CPU Scheduling
- Learning about processes, threads, process coordination, and various CPU scheduling algorithms (FCFS, SJF, Priority, Round Robin).
- CO3: Process Synchronization & Deadlocks
- Analyzing process synchronization mechanisms (semaphores, monitors) and techniques for handling deadlocks.
- CO4: Memory Management
- Understanding memory allocation (contiguous, non-contiguous), virtual memory, paging, and segmentation.
- CO5: File Systems & I/O
- Studying file system structures, disk scheduling, I/O management, and device management.
- CO6: Advanced Topics
- Exploring security, protection, networking basics, distributed systems, real-time systems, or specific OSs like Linux/Android.
28, నవంబర్ 2025, శుక్రవారం
Food and Beverage Calorie Prediction with Neural Networks...... total 12 pages..........."Under peer review" SpringerNature..........
Food and Beverage Calorie
Prediction with Neural Networks
Raman kumar mandall karingula Venudhar 2
Ramanjaneyulu
Dayinaboyina Associate Professor , Dept of AIML , CMR College of Engineering and Technology,
Kandlakoya
medchal Hyderabad , Telangana, India
1Assistant professor Department
of IT, CMR College of Engineering and
Technology,
Kandlakoya
medchal Hyderabad , Telangana, India
Abstract.This observe
introduces a revolutionary approach for enhancing nutritional monitoring and
selling healthful consuming behaviour via deep analyzing technology. The
primary objective is to correctly come across several meals objects and
estimate their calorie content cloth in actual-time, offering customers a smart
and customized technique to nutritional tracking performed using Python, the
gadget makes use of the cellular net architecture for food category and calorie
estimation. The proposed gadget methods meals snap shots through a web based
totally interface, figuring out gadgets hastily and supplying customers with a
accurate calorie estimate. This machine empowers people with treasured insights
into their nutritional behaviour, permitting them to song meals intake, set
dietary dreams, and make knowledgeable picks. via way of leveraging deep
studying for green and correct calorie estimation, this approach offers a
transformative solution for nutritional control. With its excessive precision,
real-time evaluation, and clever nutritional monitoring, this system has the
ability to redefine how humans monitor and optimize their dietary conduct,
fostering greater healthy lifestyles and average well-being.
Keywords:: Deep Learning, Food Calorie Estimation, Image Processing, CNN, Multi-Label Classification, Computer
Vision
1
Introduction
Rapid
advances in computer vision and deep learning have had a major impact on a wide
range of areas including healthcare and nutrition the key uses are food
detection and calorie estimation and it is estimated that a key role plays in
intelligent nutrition monitoring accurate food identification and estimation of
calorie content can help individuals make healthy nutrition decisions and
promote a healthier lifestyle increased smartphone use and growing nutritional
concerns have encouraged research into efficient and accurate calorie
estimation systems these approaches are highly susceptible to variations in
lighting conditions location and food presentation style furthermore many existing
systems related to reporting on food categories are limited and lack actual
calorie assessment skills this makes them ineffective for widespread use to
address these challenges this study uses deep learning techniques particularly
mobilenet architecture to improve the accuracy of food detection mobilenet is a
lightweight and efficient model suitable for mobile applications .
.........................
.........................
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total 12 pages.
25, నవంబర్ 2025, మంగళవారం
23, నవంబర్ 2025, ఆదివారం
22, నవంబర్ 2025, శనివారం
20, నవంబర్ 2025, గురువారం
Ternary Operator in Python............
The ternary operator in Python allows us to perform conditional checks and assign values or perform operations on a single line. It is also known as a conditional expression because it evaluates a condition and returns one value if the condition is True and another if it is False.
ex 1:-
n = 5
res = "Even" if n % 2 == 0 else "Odd"
print(res)
ex 2:-
n = -5
res = "Positive" if n > 0 else "Negative" if n < 0 else "Zero"
print(res)
19, నవంబర్ 2025, బుధవారం
17, నవంబర్ 2025, సోమవారం
16, నవంబర్ 2025, ఆదివారం
15, నవంబర్ 2025, శనివారం
13, నవంబర్ 2025, గురువారం
7, నవంబర్ 2025, శుక్రవారం
4, నవంబర్ 2025, మంగళవారం
2, నవంబర్ 2025, ఆదివారం
working on SCI AIML Paper.................................springer berlin/heidelberg Scientific Reports - Receipt of Manuscript 'Crop Yield Prediction...' Inbox Springer Nature Thu 6 Nov, 18:27 (5 days ago) to me Ref: Submission ID bb9cb447-6a22-4579-a78c-478bdf8e1112 Dear Dr Ramanjaneyulu, Please note that you are listed as a co-author on the manuscript "Crop Yield Prediction in Diverse Environmental Conditions Using Ensemble Learning", which was submitted to Scientific Reports on 06 November 2025 UTC. If you have any queries related to this manuscript please contact the corresponding Peer Review Advisors, who is solely responsible for communicating with the journal. Kind regards, Peer Review Advisors Scientific Reports
29, అక్టోబర్ 2025, బుధవారం
26, అక్టోబర్ 2025, ఆదివారం
THE HONEYMOON PERIOD IS OVER ...........................................
- You begin to see your partner's flaws and "imperfections" that you didn't notice before.
- The relationship may experience more arguments or disagreements as real-life issues arise.
- The intense, blissful feeling decreases, and you both settle into a more routine dynamic.
- Sex may decrease, or a more casual, comfortable level of intimacy replaces the constant passion.
- What you once found endearing or cute about your partner may now start to irritate you.
- Have open and honest conversations about your feelings, needs, and any issues that arise.
- Intentionally plan dates and activities, just as you did in the beginning, to maintain excitement and connection.
- Try new things together to keep stimulating your brains' reward systems, which can help recreate some of the initial spark.
- It's healthy to have some alone time, as it allows you to recharge and miss each other, which can strengthen your connection when you reunite.
- Understand that this shift is a normal part of a healthy, long-term relationship, not necessarily a sign of a broken one