Monocular Depth Estimation: A Review on Hybrid Architectures, Transformers and Addressing Adverse Weather Conditions by Kumara Lakindu, Senanayake Nipuna, Poravi Guhanathan

“…Monocular depth estimation has significantly improved over the past couple of years and deep learning-based methods have surpassed traditional and machine learning-based methods. Deep learning-based methods have further been enhanced using transformer and hybrid approaches. …”
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Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

“…In recent years, machine learning has emerged as a powerful tool for such predictions. …”
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A Theoretical Framework for Interrogating the Integration of Artificial Intelligence in Education by Tarisayi Kudzayi Savious

“…Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. …”
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Exploring the performance of ChatGPT for numerical solution of ordinary differential equations by Saso Koceski, Natasa Koceska, Limonka Koceva Lazarova, Marija Miteva, Biljana Zlatanovska

“…It also requires further improvement of the machine learning model and the ability to provide an explanation of how the output was obtained.…”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…Methods By using data from the Gene Expression Omnibus (GEO) database, we employed machine learning methods to discover prognostic ARGs and create a risk score. …”
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Penerapan Logika Fuzzy Dan Metode Profile Matching Pada Sistem Pakar Medis Untuk Diagnosis Covid-19 Dan Penyakit Lain by Rusliyawati Rusliyawati, Agus Wantoro, Erliyan Redy Susanto

“…Berbagai macam upaya diagnosis telah dilakukan, seperti Rapid Diagnostic Test (RDT), RT-PCR, CT-Scan Image, dan machine learning, namun masih memiliki beberapa kelemahan. …”
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Teknologi Text To Speech Menggunakan Amazon Polly Untuk Meningkatkan Kemampuan Membaca Pada Anak Dengan Gejala Disleksia by Karlina Diah Fatmawati, Imam Tahyudin

“…Penelitian ini bertujuan untuk meningkatkan kemampuan membaca menggunakan teknologi Text-To-Speech (TTS) dengan Machine Learning Amazon Polly yang ada pada AWS cloud. …”
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Analisis Sentimen Berbasis Aspek Pada Ulasan Pelanggan Restoran Menggunakan Algoritma Support Vector Machine (Studi Kasus: Depot Bamara) by Muhammad Fariz Firdaus, Dian Eka Ratnawati, Nanang Yudi Setiawan

“…One solution that can be implemented is using aspect-based sentiment analysis with the help of machine learning. Aspect-based sentiment analysis provides more focused knowledge on each aspect of the restaurant, and the use of machine learning allows the utilization of reviews with minimal human resources. …”
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Rapid review of the COVID-19 pandemic’s impact on the digitalization of higher education by Chukwuere Joshua

“…Many digitalization tools such as social media, augmented reality, machine learning, and other emerging technologies are used to accelerate the higher education process during the COVID-19 pandemic (new normal).…”
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Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey by Giovanni Battista Gaggero, Paola Girdinio, Mario Marchese

“…Anomaly detection methods increasingly rely on Machine Learning techniques, that represent a game-changer tool for data analysis. …”
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Predicting amyloid proteins using attention-based long short-term memory by Zhuowen Li

“…Recently, although several machine learning methods proposed for amyloid protein identification have shown promising results, most of them have not yet fully exploited the sequence information of the amyloid proteins. …”
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How data science and AI-based technologies impact genomics by Jing Lin, Kee Yuan Ngiam

“…Following the rise of artificial intelligence (AI) technology such as machine learning and deep learning, an increasing number of GWAS/PheWAS studies have successfully leveraged this technology to overcome the aforementioned challenges. …”
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Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…In this case, Deep Learning, a branch of (Machine Learning) is used to be able to understand a set of images and classify them. …”
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ANALISIS SENTIMEN DATA TWITTER TERKAIT CHATGPT MENGGUNAKAN ORANGE DATA MINING by Tri Yuli Pahtoni, Handaru Jati

“…Positive, negative, and neutral responses were processed using orange data mining software, namely machine learning tools, data mining, and data visualization. …”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“… Kepribadian Myers-Briggs Type Indicator ( MBTI ) telah menjadi topik populer dalam memahami karakteristik individu dan dampaknya pada interaksi sosial, karir, dan pengambilan keputusan. Model Machine Learning dengan algoritma Naive Bayes Classifier sering digunakan untuk memprediksi kepribadian MBTI berdasarkan data Twitter. …”
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Perancangan User Experience Aplikasi Penghemat Listrik myECO dengan Otomatisasi dan Manajemen Listrik untuk Rumah Tangga by Maulana Derifato Achmad, Herman Tolle, Buce Trias Hanggara

“…Maka dapat dihadirkan suatu solusi yaitu aplikasi berbasis Internet of Things (IoT), Artificial Intelligence dan Machine Learning yang dapat menganalisis pemborosan dan memudahkan manajemen perangkat listrik. …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…Namun dengan perkembangan teknologi komputer untuk AI, Machine Learning maupun Deep Learning, algoritma dengan basis AI tersebut, dalam penelitian ini dikembangkan untuk menemukan solusi general persamaan model T(n) secara otomatis dari desain algoritma sederhana atau kompleks. …”
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“…Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning. Complex neural networks now lie at the core of ubiquitous AI systems in healthcare. …”
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Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

“…Because SBC is not a machine learning-based method, it requires no prior training. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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