PROFESSOR &H.O.D RAM.A.DAYINA, C.S.E, JUnivEth, MTUnivEth, RAISONY UNIV,Presidency,KL UNIV AP
11, నవంబర్ 2026, బుధవారం
TO SUCCEED IN LIFE, YOU MUST ADOPT THE MINDSETS OF FOUR ANIMALS. FIRST IS THE EAGLE; IT FLIES AT GREAT HEIGHTS AND DOES NOT DESCEND FOR TRIVIAL PROBLEMS. IF YOUR GOAL IS GRAND, YOUR VISION MUST ALSO BE SET HIGH. SECOND IS THE LION—THE KING OF THE JUNGLE—BECAUSE IT KNOWS NO FEAR. EVEN WHEN ALONE, IT MOVES FORWARD WITH COURAGE; YOU, TOO, MUST OVERCOME FEAR. THIRD IS THE WOLF, WHICH WORKS AS PART OF A PACK AND NEVER ABANDONS ITS GROUP. TO ACHIEVE SUCCESS IN LIFE, YOU MUST SURROUND YOURSELF WITH THE RIGHT PEOPLE. FOURTH IS THE CHEETAH, WHICH RUNS WITH INCREDIBLE SPEED; ONCE IT SETS ITS TARGET, IT NEVER STOPS. IF YOU REMAIN FOCUSED ON YOUR OBJECTIVE, SUCCESS WILL BE YOURS. ULTIMATELY, IF YOU EMBODY THESE FOUR MINDSETS, NO ONE CAN STOP YOU
10, నవంబర్ 2026, మంగళవారం
Crop Yield Prediction in Diverse Environmental Conditions Using a Hybrid Whale Optimization–AdaBoost Framework
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9, నవంబర్ 2026, సోమవారం
DATA IS CIPHERED , FIRST AUTHOR PROF RAM.A.DAYINABOYINA............................................more papers are in progress
Building a Mobile Price Prediction System Using Web Scraping and Machine Learning
by amalgamate data engineering, data science, and e-commerce analytics.
Ramanjaneyulu DayinaboyinaProfessor,Dept of AIML, Chiral a , Andhra Pradesh, dramu2002@gmail.Com, India .1
Raman Kumar Mandal, Asst. prof
CSE GNITC Hyderabad, email reffect1985@gmail.com, india .2
Ponnapalli Hemant, Asst. prof
CSE, DRK institute of science and technology, ponnapallihemanth784@gmail.com, india .3
Nisha, Asst prof CSE, ,Chandigargh
university punjab, mohali, india .4
Anjanadevi
Dayinaboyina, Senior Software Engineer, Wipro Ltd, anjana11.mca@gmail.com, Chennai, India .5
Abstract
The internet retail market is a constantly evolving landscape. Consequently, both buyers and sellers require technology-driven advancements for the analysis of mobile phone pricing. Web scraping—a technique used to collect data from the web—is widely employed for this purpose. The process further incorporates data ................................................................................
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ESTIMATING CALORIES IN FOOD AND DRINKS USING NEURAL NETWORKS INVOLVES A MULTI-STEP COMPUTER VISION AND MACHINE LEARNING PIPELINE THAT TRANSFORMS RAW IMAGES INTO NUTRITIONAL DATA.
D.Ramanjaneyulu 1, Raman
kumar mandal2 ,PriyaRanjan Raj3 ,K.Ravi Naik 4 , Anjanadevi Dayinaboyina.5
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