Abstract: The smart juice manufacturing system utilizes PLC and SCADA technologies to enhance efficiency, productivity, and sustainability. The Siemens S7-1500 PLC is employed for modular programming, ...
Mallikarjun Kharge says scrapping MGNREGA was one-sided decision taken by govt without consulting stakeholders including ...
Last week, Parliament repealed the two-decade old Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) and passed ...
Erratic rainfall, prolonged heat, groundwater depletion, and volatile farm incomes are becoming structural features of rural ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Modi government's VB G RAM G Bill replaces MGNREGA, raising job days from 100 to 125, boosting tech-driven transparency, and enhancing state flexibility amid Opposition protests.
The Modi government proposes the VB–G Ram G Bill to replace MGNREGA, promising more workdays and tighter digital oversight The central government has proposed a sweeping overhaul of its flagship rural ...
New Delhi: A bill to repeal the MGNREGA and bring a new law for rural employment -- Viksit Bharat Guarantee for Rozgar and Ajeevika Mission (Gramin) (VB-G RAM G) Bill, 2025 -- is set to be introduced ...
The median net worth in the U.S. is $192,900, according to the Federal Reserve's 2022 Survey of Consumer Finances, a 37% increase from 2019. Americans approaching retirement have an even larger nest ...
Knowing your net worth gives you a clearer picture of your current financial situation, helping you stay on top of any outstanding debts, set mid- and long-range saving goals and plan for a healthy ...
As a staff writer for Forbes Advisor, SMB, Kristy helps small business owners find the tools they need to keep their businesses running. She uses the experience of managing her own writing and editing ...
Abstract: This paper introduces a probabilistic latent variable model to address unsupervised domain adaptation problems. Specifically, we tackle the task of categorization of visual input from ...
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