Prenatal depression level prediction using ensemble based deep learning model by Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins

“…Results:: We subsequently applied the ensemble based deep learning model on a testing dataset and our method proved to be 93.87 percent accurate, proving its superiority over the standard supervised classification models. …”
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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

“…IEEE Access…”
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Performance, methane production, and beef lipid profile of young bulls finished in feedlot by Barbara Martins Rodrigues, Ramon Costa Alvarenga, Dante Pazzanese Duarte Lanna, Alexandre Berndt, Fernando Antônio de Souza, Leandro Sâmia Lopes

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Mechanics for Seedling Feeding in Vegetable Transplanters: Design and Development of Semi-Automatic Systems by Ankit Sharma, Sanjay Khar

“… Aim of study: The seedling feeding mechanism is a significant element in transplanters. …”
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Real-Time Prediction of the Trend of Ground Motion Intensity Based on Deep Learning by Tao Liu, Zhijun Dai

“…In order to predict the intensity of earthquake damage in advance and improve the effectiveness of earthquake emergency measures, this paper proposes a deep learning model for real-time prediction of the trend of ground motion intensity. …”
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Relationship between in ovo feeding and eggshell temperature of breeder eggs during incubation by Maxwell Ansong Okai, Maxwell Ansong Okai, Francis Kruenti, Jacob Alhassan Hamidu, Kokou Tona, Lin Hai

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The DTN Routing Algorithm Based on Markov Meeting Time Span Prediction Model by En Wang, Yongjian Yang, Bing Jia, Tingting Guo

“…Putting forward an efficient routing algorithm in DTN (delay tolerant network) has become a focus of attention due to the existing phenomena that the connections between nodes in the network change dramatically over time and the communications suffer from frequent disruptions. In this paper, the meeting time span between nodes is predicted using the Markov model, and the relay node holding the shortest meeting time span with the destination node is determined as the most efficient node. …”
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Compressing fully connected layers of deep neural networks using permuted features by Dara Nagaraju, Nitin Chandrachoodan

“…Abstract Modern deep neural networks typically have some fully connected layers at the final classification stages. …”
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Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots by Troy D. Kelley, Lyle N. Long

“…However, Deep Blue only played chess; it did not play checkers, or any other games. …”
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Lateral Heel Pain Caused by Impingement of Hypertrophic Peroneal Tubercle and Os Peroneum by Ryosuke Takada, Song Ho Chang, Taro Kasai, Masashi Naito, Jun Hirose, Sakae Tanaka, Takumi Matsumoto

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Evaluation of beef supply based on hot carcass data: the case of burdur province by Cevat Sipahi, Ahmet Cumhur Akın, Aykut Asım Akbaş

“…<b>Aim:</b> In this study, it was aimed to reveal the beef supply structure throughout the province by examining; the hot carcass weights, cattle age, cattle breed, sex, etc. data of the cattle slaughtered in Burdur province.…”
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Murabahah contract in subsidized home ownership financing deed by notary in Bogor district by Erika Selorina, Frengki Hardian, Mohamad Ryan Bakry

Subjects: “…murabahah contract, financing deed, notary, subsidized house, islamic bank…”
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Deformation Mechanism and Support Technology of Deep and High-Stress Soft Rock Roadway by Lujing Zheng, Yujun Zuo, Yafei Hu, Wei Wu

“…In this study, the analysis and control of stability of surrounding rock in deep fractured soft rock roadway located in the underground mine of Jinfeng gold mine in Guizhou Province, China, has been investigated. …”
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Fermentation of seaweed flour with various fermenters to improve the quality of fish feed ingredients by Siti Aslamyah, Muh Yusri Karim, , Badraeni

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Study on In Situ Stress Measurement and Surrounding Rock Control Technology in Deep Mine by Zhongcheng Qin, Bin Cao, Yongle Liu, Tan Li

“…In situ stress is the direct cause of roadway deformation and failure in the process of deep mining activities. The measured data of in situ stress in the Shuanghe coal mine show that the maximum principal stress is 44.94~50.61 MPa, and the maximum principal stress direction is near horizontal direction, which belongs to tectonic stress field. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Study on Stress Relief of Hard Roof Based on Presplitting and Deep Hole Blasting by Peng Gong, Yongheng Chen, Zhanguo Ma, Shixing Cheng

“…The method combining presplitting and deep hole blasting can effectively reduce the end-mining coal pillar size and reduce the impact of mining on the deformation of the dip roadway.…”
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Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures by Ni Luh Gede Pivin Suwirmayanti, I Wayan Budi Sentana, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa, Komang Budiarta

“…The technique used in Deep Learning is Convolutional Neural Network (CNN). …”
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An Improved Deep Belief Network IDS on IoT-Based Network for Traffic Systems by Rayeesa Malik, Yashwant Singh, Zakir Ahmad Sheikh, Pooja Anand, Pradeep Kumar Singh, Tewabe Chekole Workneh

“…Moreover, these techniques collapse, while detecting zero-day attacks. Hence, there is a need to use an intelligent mechanism based on machine learning (ML) and deep learning (DL), to detect attacks. …”
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An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning by Huanruo Li, Yunfei Guo, Penghao Sun, Yawen Wang, Shumin Huo

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