Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN-Driven Mammogram Synthesis and Validity Assessment by Dilawar Shah, Mohammad Asmat Ullah Khan, Mohammad Abrar

“…The scarcity of annotated mammogram data presents a significant obstacle when building deep learning models that can produce reliable outcomes. …”
Get full text

Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models by Reza Piraei, Majid Niazkar, Fabiola Gangi, Gökçen Eryılmaz Türkkan, Seied Hosein Afzali

“…This paper presents a comparative analysis of machine learning (ML) models for predicting drought conditions using the Standardized Precipitation Index (SPI) for two distinct stations, one in Shiraz, Iran and one in Tridolino, Italy. …”
Get full text

Enhancing drought prediction through machine learning: advanced techniques combining phenotypic and agrometeorological data by Efrem Yohannes Obsie, Yongguo Liu

“…Accurate monitoring of drought is crucial as it severely impacts normal plant growth and presents significant challenges to sustainable agriculture and global food security. …”
Get full text

Reproduction of reservoir pressure in oil field development: prospects and problems of using methods machine learning by I. N. Ponomarevа, D. A. Martyushev

Get full text

Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

“…Lip reading is extensively used in visual speech recognition to classify and recognize words by analyzing mouth movements in silent videos. Transfer learning models are often employed to improve performance in this area. …”
Get full text

24 Hours Ahead Forecasting of the Power Consumption in an Industrial Pig Farm Using Deep Learning by Boris Evstatiev, Nikolay Valov, Katerina Gabrovska-Evstatieva, Irena Valova, Tsvetelina Kaneva, Nicolay Mihailov

Get full text

A Novel Machine Learning for Ethanol and Methanol Classification with Capacitive Soil Moisture (CSM) Sensors by Devina Intan Sari, Suryasatriya Trihandaru, Hanna Arini Parhusip

“…The research aimed to present a novel machine learning for ethanol and methanol classification with CSM sensors. …”
Get full text

High-resolution GNSS troposphere tomography through explainable deep learning-based downscaling framework by Saeid Haji-Aghajany, Saeed Izanlou, Melika Tasan, Witold Rohm, Maciej Kryza

Get full text

An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels by Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li

“…Finally, simulation results validate that the proposed deep learning algorithm holds remarkable advantages in boosting the accuracy of modulation type recognition with better adaptability. …”
Get full text

Breaking the isolation: how influential is co-creation in open and distance learning on the use of new media? by Rishi Chakravarty, Apratim Baruah, Nripendra Narayan Sarma

“…Purpose – In the open and distance learning (ODL) system, widely scattered learners across various age groups often feel isolated. …”
Get full text

Towards Intelligent Unmanned Adversarial Games: A Reinforcement Learning Framework with the PHP-ROW Method by Guoqing Shi, Yi Cao, Dinghan Wang, Qiming Yang, Jiandong Zhang, Zhuoyong Shi

“…Conclusively, the utility and efficacy of the presented framework are corroborated through human–machine adversarial game simulations in a hyper-realistic environment. …”
Get full text

Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review by Beyza Demirtaş Yılmaz

“…Study design, machine learning algorithms, and audiological measurements were evaluated in the data analysis. …”
Get full text

Development of machine learning models to predict clinical outcome and recovery time in dogs with parvovirus enteritis by Negin Sanaei, Mohamad Zamani-Ahmadmahmudi, Seyed Mahdi Nassiri

“…Canine parvovirus (CPV) is one of the most contagious viral diseases in dogs that usually presents with diarrhea, vomiting, and fever. Various clinical and laboratory biomarkers such as SIRS, leukopenia, neutropenia and CRP have been introduced to predict the final outcome of dogs with CPV. …”
Get full text

“I Learned How to Think, Not What to Think.” Student Perspectives on an Interdisciplinary Undergraduate Honours Programme by Jenny Godley, Lori Jane Pasaraba, Megan Wilson, Mabel Teye-Kau, Mark Migotti

“…Data were collected in early 2020 from 108 past and present students, representing the first eleven cohorts of the programme. …”
Get full text

Decoding vocal indicators of stress in laying hens: A CNN-MFCC deep learning framework by Suresh Neethirajan

Get full text

Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection by Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar

“…We first balanced the dataset before using the BiLSTM-CNN model. The hybrid deep learning (DL) model presented here performed well in comparison to other studies, with 0.993 accuracy, precision 0.99, recall 0.99, and F1-score 0.99.…”
Get full text

The Hybrid Best Worst Integrated Machine Learning Methodology to Clustering the Countries Based on the Happiness Index by Ebru Gecici, Aslihan Yildiz, Selcuk Alp

“…In this regard, studies on measuring happiness have continued from the past to the present. In this context, the World Happiness Report includes happiness index values created using eight criteria with equal weights for each country. …”
Get full text

Distance learning methodology and technique in scientific and vocational communication (on the example of the master’s distance course in linguistics) by S. S. Khromov, T. P. Skorikova, N. V. Dneprovskaya

“…The research novelty lies in the fact that the course presents the results methodic and scientific work of the teachers’ and students’ stuff. …”
Get full text

Student Engagement with the Arabic Language on Social Media: A Media Exposure Approach to Language Learning   by Shovi Maryam, Sutaman Sutaman, Miftahul Huda, Mufti Rasyid, Dissanayake, B. Y.

“…The researchers employed descriptive statistical analysis to summarize and present the collected data in terms of frequencies, percentages, and means, providing an overview of students' participation in Arabic-language social networking platforms. …”
Get full text

Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease by Stefano Romano, Jakob Wirbel, Rebecca Ansorge, Christian Schudoma, Quinten Raymond Ducarmon, Arjan Narbad, Georg Zeller

“…However, a consensus on PD-associated microbiome features and a multi-study assessment of their diagnostic value is lacking. Here, we present a machine learning meta-analysis of PD microbiome studies of unprecedented scale (4489 samples). …”
Get full text