Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India by Syed Nisar Hussain Bukhari, Kingsley A. Ogudo

“…Despite their importance, traditional forecasting methods often fall short due to their high computational demands and inability to provide localized, real-time predictions, leaving a critical research gap in addressing these challenges. …”
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QD-MLL-Based Single-Sideband Superchannel Generation Scheme With Kramers–Kronig Direct Detection Receivers by Mustafa Al-Qadi, Govind Vedala, Maurice O'Sullivan, Chongjin Xie, Rongqing Hui

“…It also preserves the full digital-to-analog converters’ bit resolution for data modulation, in contrast to other methods based on digital generation of the CW component. …”
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Circuit-Specific and Technology-Independent Criterion for Selection of Power MOSFETs That Minimize Energy Dissipation by Vikas Joshi, Utkarsh Jadli, Peyush Pande, Mayank Chaturvedi, Daniel Haasmann, Sima Dimitrijev

“…We investigate the impact of power MOSFET channel width on the power efficiency of a switch-mode power supply. With this analysis, we derive a circuit-specific criterion that minimizes the power dissipated by a power MOSFET, which is based on the ratio between on resistance and output capacitance of the MOSFET and is independent of its technological parameters. …”
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Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature by Ahmad M.A. Malkawi, Zuhour A.B. Alsaqqa, Tareq O. Al-Mosa, Wa'el M. JadAllah, Mohannad M.H. Sadeddin, Ayman Al-Quraan, Mohammad AlMashagbeh

“…Next, an adaptive computation block determines the maximum power point (MPP). The proposed MPPT method stabilizes output power at the MPP, unlike traditional MPPT methods, which oscillate. …”
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Generative Diffusion Network for Creating Scents by Manuel Aleixandre, Dani Prasetyawan, Takamichi Nakamoto

“…The generative network outputs mass spectrometry data as the primary output. …”
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Data-Driven Optimization of CNC Manufacturing Using Simulation and DOE Techniques by Vijay Sevella, Ahad Ali, Abdelhakim Abdelhadi, Ahmad Alkhaleefah

“…Finding bottlenecks, evaluating important performance metrics such as output, queue lengths, waiting times, and machine utilization, and testing improvement scenarios are the primary goals. …”
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A Machine Learning-Based Novel Energy Optimization Algorithm in a Photovoltaic Solar Power System by Kalapala Prasad, J. Samson Isaac, P. Ponsudha, N. Nithya, Santaji Krishna Shinde, S. Raja Gopal, Atul Sarojwal, K. Karthikumar, Kibrom Menasbo Hadish

“…The LFR is less than 30 mm wide to maximise thermal efficiency, and a densely packed cell array has been used to maximise electrical output. …”
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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…AbstractThe purpose of this research is the effective factors on the design of the management dashboard framework with an emphasis on the components of human resources productivity. The research method is applicable in terms of purpose, qualitative in terms of execution method, and cross-sectional survey in terms of nature. …”
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Assessing the Effect of Sediment Deposits on the Performance of Residential Heating Radiators: An Experimental Investigation by Mahboobeh Ebrahimi, Mousa Farhadi, Alireza Rezaniakolaei

“…Notably, heat output initially saw a slight increase, only to decrease by up to 28.5% over time, with these effects amplifying at higher inlet temperatures. …”
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A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling by Jian Li, Shifa Li, Pengbo He, Huankun Li

“…Abstract To improve the scheduling efficiency of flexible job shops, this paper proposes a multi-objective collaborative intelligent agent reinforcement learning algorithm based on weight distribution. …”
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Multiple Photoconductive Antennas Terahertz Power Synthesis Technology Based on Time-Domain Waveform Consistency by Hu Deng, Liping Shang, Weiwei Qu, Xiaoxia Li

“…The dipole photoconductive antenna with 500-μm aperture and a plurality of delay lines are used to build multiple terahertz power synthesis system. A synthesis efficiency evaluation method is proposed on the basis of the temporal coherence degree. …”
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Role of Skilled Workers in a Successful Supply Chain: The Case of the Japanese Seafood Processing Company by Rizkina Fitriana Dina, Takenouchi Naruhito, Kasamatsu Hiroki

“…The breakthroughs they created were examined in this study, and the key factor of success (KFS) was analyzed using the participant observation method. One aspect is workers’ skills (fast work, accuracy, quality, etc.) being useful for cost efficiency and product quality. …”
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Thinned Virtual Array for Cramer Rao Bound Optimization in MIMO Radar by Xia Li, Buhong Wang

“…The original combinatorial problems are approximated by sequential convex approximations methods which produce solutions with efficiency. Numerical results demonstrate that the proposed method can provide thinned virtual arrays with excellent CRB performance.…”
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Research on an optimal scheduling strategy for a virtual power plant participating in primary frequency regulation by HUANG Canbing, XIONG Ni, WU Wei, LIU Shijian, ZHANG Qiao, YANG Xiyun

“…In response， this paper proposes an optimal scheduling strategy for the VPP using the improved multi-objective particle swarm optimization （MOPSO） and an integral power assessment method for primary frequency regulation. To effectively evaluate the stability and economy of primary frequency regulation， an economic benefit assessment model is introduced for the VPP， using the integral power assessment method， to penalize power that fails to meet performance criteria. …”
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Research on Fast SOC Balance Control of Modular Battery Energy Storage System by Jianlin Wang, Shenglong Zhou, Jinlu Mao

“…In recent years, SOC balancing methods based on software algorithms have gained popularity. …”
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Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks by Bediha Oyar, Beytullah Eren, Abdil Özdemir

“…In this work, the removal efficiency of the textile dye (Reactive Black 5) at different current densities (48.5 A/m2, 97.18 A/m2, 194.36 A/m2, 291.5 A/m2, 388.7 A/m2) was investigated by electrocoagulation method. …”
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Hybrid precoding algorithm for Wi‐Fi interference suppression based on deep learning by Gang Xie, Zhixiang Pei, Gaole Long, Yuanan Liu

“…Abstract Interference among wireless access points (APs) in Wi‐Fi systems limits the throughput of multi‐AP massive multiple‐input multiple‐output systems, and as the AP density increases, the increased interference leads to a significant loss of spectral efficiency of the system. …”
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Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…The MLP model had a topology with two hidden layers and included three inputs and one output. In the RBF model, the network topology had a single hidden layer. …”
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Effect of seed priming and foliar application of organic liquid manure on germination, growth, yield and quality of late-sown wheat by Okram Ricky Devi, Omvati Verma, Bibek Laishram, S. Anbarasan, Abhijit Debnath, Narinder Panotra, Priyanka Elumle, Sunita T. Pandey, R. Ajaykumar, Samreen

“…From the current research, it can be concluded that HK is a successful and cost-efficient method that may be utilized to increase crop production under late-sown conditions.…”
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Rapid and sensitive detection of Mycobacterium tuberculosis using the RPA/Cas12f1_ge4.1 system with fluorescence and lateral flow readouts by Zhongliang Deng, Xingyong Weng, Honghua Tang, Tintao Zou, Xuan Zhou, Hangxi Liu, Piaoting Wen, Gemiao Luo, Tian Gan, Jun He

“…ABSTRACT Tuberculosis remains a major global health threat, with existing detection methods often limited by efficiency and resource demands. …”
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