Revise BiLSTM Temperature Manuscript - must be entirely human-written.

My manuscript on temperature prediction with a Bidirectional LSTM has been returned from a journal with a “major revision” decision. I want to submit a polished, fully compliant revision that answers every reviewer comment and tightens both the science and the prose. The current file is in Word, so all editing should be done with Track Changes enabled. I will supply the reviewers’ reports, original figures, datasets, and any code snippets you may need to replicate or clarify results. Here is what I expect: • A carefully rewritten Word document that integrates the reviewers’ suggestions while preserving my voice and technical accuracy. • Clear explanations—inserted as comments—showing where and how each reviewer point was addressed. • Any additional tables, plots, or statistical checks required to reinforce the Bidirectional LSTM. • Clean, journal-ready formatting that respects the target journal’s guidelines for headings, references, and figure placement. - English fluency must - must be entirely human-written. - SHOULD NOT USE ANY AI TOOLS .. I’ll handle the final submission myself, but I need your expert help to make sure every methodological detail stands up to scrutiny and the writing reads smoothly to an international audience. Once the update is finished and all comments resolved, please deliver: 1. The revised Word document with Track Changes. and changes are marked in blue-colored font. 2. A “clean” version with changes accepted. 3. A concise change-log mapping revisions to reviewer notes. 4. AI should be less than 20% will be checked in Turnitin If you have a strong background in deep-learning-based time-series forecasting and experience preparing manuscripts for high-impact journals, I’d love to collaborate and get this paper over the finish line.