This journal is not listed in the SCIE, SSCI, AHCI, ESCI, Scopus or JCR 2024 lists. That does not make it unreliable, but check its indexing, peer review and fees carefully.
How to spot predatory journals →01Indexing
Indexing of Acadlore Transactions on AI and Machine Learning
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not listed |
| Social Sciences Citation Index (SSCI) | Not listed |
| Arts & Humanities Citation Index (AHCI) | Not listed |
| Emerging Sources Citation Index (ESCI) | Not listed |
| Scopus | Not listed |
| Journal Citation Reports 2024 | Not listed |
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
02What it publishes
What Acadlore Transactions on AI and Machine Learning publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
03Published papers
Papers published in Acadlore Transactions on AI and Machine Learning
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Floor segmentation approach using FCM and CNN202310 citations
- Modelling of depth prediction algorithm for intra prediction complexity reduction202210 citations
- Transformer-driven feature fusion for robust diagnosis of lung cancer brain metastasis under missing-modality scenarios20260 citations
- Decision-level multimodal fusion for non-invasive diagnosis of endometriosis: Strategies, calibration, and net clinical benefit20260 citations
- Real-time anomaly detection in IoT networks using a hybrid deep learning model20250 citations
- Development of a machine learning-driven web platform for automated identification of rice insect pests20250 citations
- Interpretable deep learning framework for early classification of tomato and grapevine leaf diseases20250 citations
- Facial expression recognition through transfer learning: Integration of VGG16, ResNet, and AlexNet with a multiclass classifier20250 citations
- Natural language processing for PTSD detection: A systematic review and bibliometric analysis20250 citations
- A stable region-based image segmentation model integrating fuzzy logic and geometric principles20250 citations
- Impact of data preprocessing techniques on the performance of machine learning models for drought prediction20250 citations
- A hybrid graph-attention and contextual sentiment embedding model for sentiment analysis in legal documents20250 citations
- Comparative Analysis of Machine Learning Models for Predicting Indonesia's GDP Growth20250 citations
- LMS-YOLO: A starnet-enhanced lightweight framework for robust marine object detection in complex water surface environments20250 citations
- Ritzkal,“Benchmarking text embedding models for multi-dataset semantic textual similarity: A machine learning-based evaluation framework,”20250 citations
- Enhanced real-time facial expression recognition using deep learning20240 citations
- Enhanced Color Image Encryption Utilizing a Novel Vigenere Method with Pseudorandom Affine Functions''20240 citations
- Multi-variable time series decoding with long short-term memory and mixture attention20230 citations
- Dwt-based digital watermarking for various attacks20230 citations
- Enhancing session-based recommendations with popularity-aware graph neural networks20220 citations
04Reviewer comments
Reviewer comments and rejection reasons for Acadlore Transactions on AI and Machine Learning
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Acadlore Transactions on AI and Machine Learning, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
05Similar journals
Journals similar to Acadlore Transactions on AI and Machine Learning
Journals that publish the closest work to the papers above:
- SGS-Engineering & SciencesNot listed in our indexing lists6 similar papers
- Neural Computing and ApplicationsScopusJCR 20244 similar papers
- SustainabilitySCIESSCIScopusJCR 20246 similar papers
- Expert SystemsSCIEScopusJCR 20244 similar papers
- IEEE AccessSCIEScopusJCR 20244 similar papers
- NIPES JSTR SPECIAL ISSUENot listed in our indexing lists3 similar papers
06Journal Finder
Find the right journal for your paper
Is Acadlore Transactions on AI and Machine Learning right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
07Questions
Frequently asked questions
Is Acadlore Transactions on AI and Machine Learning indexed in Scopus?
Acadlore Transactions on AI and Machine Learning is not listed in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Acadlore Transactions on AI and Machine Learning an SCIE journal?
Acadlore Transactions on AI and Machine Learning is not listed in SCIE or the other Web of Science indexes, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Acadlore Transactions on AI and Machine Learning in Journal Citation Reports (JCR)?
Acadlore Transactions on AI and Machine Learning is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does Acadlore Transactions on AI and Machine Learning publish?
The papers published in Acadlore Transactions on AI and Machine Learning that we track most often mention learning, model, machine, detection, deep, framework. Check the journal’s aims and scope for its full coverage.
How many papers published in Acadlore Transactions on AI and Machine Learning does ScholarsColab track?
We track 20 papers published in Acadlore Transactions on AI and Machine Learning between 2022 and 2026, cited 20 times in total, with a median of 0 citations per paper.
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