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Stock market Trading Based on market Sentiments and Reinforcement Learning

Computers, materials & Continua 2022年第1期70卷 935-950页

作者： k.m.ameen suhail Syam Sankar Ashok S.kumar Tsafack Nestor Naglaa F.Soliman Abeer D.Algarni Walid El-Shafai Fathi E.Abd El-Samie Department of Computer Science&Engineering NSS College of EngineeringPalakkad678008KeralaIndia Department of Electronics and Communication Engineering NSS College of EngineeringPalakkad678008KeralaIndia Unitéde Recherche de matière Condensée D’Electronique et de Traitement du Signal(URAMACETS)Department of PhysicsUniversity of DschangP.O.Box 67DschangCameroon Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Stock market is a place,where shares of different companies are *** is a collection of buyers’and sellers’*** this digital era,analysis and prediction in the stock market have gained an essential role in shaping today’s *** market analysis can be either fundamental or *** analysis can be performed either with technical indicators or through machine learning *** this paper,we report a system that uses a Reinforcement Learning(RL)network and market sentiments to make decisions about stock market *** system uses sentiment analysis on daily market news to spot trends in stock *** sentiment analysis module generates a unified score as a measure of the daily news about *** score is then fed into the RL module as one of its *** RL section gives decisions in the form of three actions:buy,sell,or *** objective is to maximize long-term future *** have used stock data of Apple from 2006 to 2016 to interpret how sentiments affect *** stock price of any company rises,when significant positive news become available in the public *** results reveal the influence of market sentiments on forecasting of stock prices.

关键词： Deep learning machine learning daily market news reinforcement learning stock market

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Revealing high-dimensional dynamical symmetry in alignment magnetic resonance

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Science China(Physics,mechanics & Astronomy) 2024年

作者： m.suhail Zubairy Institute for Quantum Science and Engineering (IQSE) and Department of Physics and Astronomy Texas A&M University

Symmetry permeates throughout science, underlying people's understanding on intriguing physical properties. These include conserved quantities, critical phenomena and selection rules. Dynamical symmetry, the counterpart of geometrical symmetry or static symmetry referring to the geometrical shape or structure of a physical system, is present in the motion behavior.

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Robust machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

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Computer modeling in Engineering & Sciences 2024年第2期138卷 1981-2004页

作者： Shaik mahaboob Basha Victor Hugo Cde Albuquerque Samia Allaoua Chelloug mohamed Abd Elaziz Shaik Hashmitha mohisin suhail Parvaze Pathan Department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India Department of Veterinary Clinical Sciences University of MinnesotaSt.PaulMinnesota55108USA

manual investigation of chest radiography(CXR)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCm)-based features,while vessel-like features are obtained using Frangi,Sato,and meijering *** learning models employing Decision Tree(DT)and RandomForest(RF)approaches are designed to categorize CXR images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective mL model for aiding *** mL model validation using performance measures,including an accuracy of approximately 91.8%with an RF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXR images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXR)image COVID-19 classifier machine learning random forest texture analysis

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Nitrosamines crisis in pharmaceuticals Insights on toxicological implications, root causes and risk assessment: A systematic review

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Journal of Pharmaceutical Analysis 2024年第5期14卷 639-652页

作者： Hemanth P.R.Vikram Tegginamath Pramod kumar Gunjan kumar Narasimha m.Beeraka Rajashree Deka Sheik mohammed suhail Sandeep Jat Namitha Bannimath Gayatiri Padmanabhan Ravandur S.Chandan Pramod kumar Bannimath Gurupadayya Department of Pharmaceutical Chemistry JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Xenone Healthcare Pvt.Ltd. New Delhi110076India Department of Pharmaceutics JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Human Anatomy I.M.Sechenov First Moscow State Medical University(Sechenov University)Moscow119991Russian Federation Department of Pharmacology Raghavendra Institute of Pharmaceutical Education and Research(RIPER)Ananthapuramu515721India Herman B.Wells Center for Pediatric Research Department of PediatricsIndiana University School of MedicineIndianapolisIN46202USA Animal Physiology and Biochemistry Laboratory Department of ZoologyGauhati UniversityGuwahati781014India Department of Pharmacology JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Pharmaceutical Analysis National Institute of Pharmaceutical Education and Research(NIPER)-GuwahatiChangsari781101India Department of Pharmacology University of GalwayGalwayH91 TK33Ireland

The presence of N-nitroso compounds,particularly N-nitrosamines,in pharmaceutical products has raised global safety concerns due to their significant genotoxic and mutagenic *** systematic review investigates their toxicity in active pharmaceutical ingredients(APIs),drug products,and pharmaceutical excipients,along with novel analytical strategies for detection,root cause analysis,reformulation strategies,and regulatory guidelines for *** review emphasizes the molecular toxicity of N-nitroso compounds,focusing on genotoxic,mutagenic,carcinogenic,and other physiological ***,it addresses the ongoing nitrosamine crisis,the development of nitrosamine-free products,and the importance of sensitive detection methods and precise risk *** comprehensive overview will aid molecular biologists,analytical scientists,formulation scientists in research and development sector,and researchers involved in management of nitrosamine-induced toxicity and promoting safer pharmaceutical products.

关键词： Carcinogenicity Genotoxicity mutagenicity molecular toxicity Nitrosamine impurities Nitrosamine drug substance-related impurities

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Corrigendum to“Nitrosamines crisis in pharmaceuticals-Insights on toxicological implications,root causes and risk assessment:A systematic review”[***.14(2024)100919]

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Journal of Pharmaceutical Analysis 2024年第6期14卷 934-936页

Original statement in the Section 2:*** search Our primary screening of 180 articles yielded the relevant data for this *** selection A total of 180 articles spanning from 1960 to the present day,including original research,reviews,case reports and studies reporting nitrosamine impurities above the no-observed-adverse-effect levels(NOAEL)established by regulatory agencies,were initially *** the primary screening,we considered factors such as relevance,publication date,access to the full article text,and content.

关键词： statement initially spanning

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Tolerance protocol of living kidney transplant for developing countries through basic strategy of lymphocyte depletion

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World Journal of Transplantation 2022年第6期12卷 112-119页

作者： Sufi m suhail Department of Renal medicine Singapore General HospitalSingapore 169856Singapore Department of Clinical Research Duke-NUS Graduate Medical SchoolSingapore 169856Singapore

End-stage kidney failure(ESkD)is a global issue where kidney replacement therapy imposes enormous economic burden to people of developing countries,in addition to the severe limitations to the availability of hemodialysis and peritoneal dialysis *** best option of kidney transplantation also requires lifelong combination immunosuppressive medicines,the cost of which is equally comparable to lifelong dialysis.A strategy of achieving transplant tolerance that requires minimum immunosuppressive medicines,although in experimental stage,also requires state-of-art technology with costly medicines and *** is evidently beyond the reach of ESkD patients of developing ***,globally in developing countries,a need for an innovative but cost-effective tolerance protocol is a burning need for a successful transplant *** brief,transplant tolerance is defined as a state of donorspecific unresponsiveness to the allograft antigens without the need for ongoing pharmacologic immunosuppression or with a minimal *** state-of-art techniques involves:(1)A state of hematological chimera,for complete tolerance;(2)Prope or partial tolerance where immune-reactive T-lymphocytes are inhibited using monoclonal antibodies;and(3)Chimeric antigen receptor for T-regulatory(T-reg)cell therapy using genetically engineered T-reg cells targeting specific Tlymphocyte receptors for inducing *** our real-world experience in transplant management in post-transplant lympho-proliferative disorders(PTLD),we noticed frequently a drastic reduction in the need of immunosuppressive medicines following lympho-ablative therapy for *** recently published a case study on a real-world experience transplant case where we explained a partial or prope tolerance that developed after lymphocyte ablation therapy,following which the allograft was maintained with low dose dual standard immunosuppressive *** on this publication,we propose here an innovat

关键词： Renal allograft B and T lymphocytes depletion Tolerance protocol Immunosuppressive medicines Living renal transplant

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Recent advances in 3D printed electrode materials for electrochemical energy storage devices

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Journal of Energy Chemistry 2023年第6期81卷 272-312,I0008页

作者： suhail mubarak Duraisami Dhamodharan Hun-Soo Byun Department of Chemical and Biomolecular Engineering Chonnam National UniversityYeosuJeonnam 59626Republic of Korea Greenlab Department of prosthodonticsSaveetha Dental College and HospitalsSaveetha Institute of Medical and Technical SciencesChennaiTamil Nadu 600077India

Electrochemical energy storage(EES)systems like batteries and supercapacitors are becoming the key power sources for attempts to change the energy dependency from inadequate fossil fuels to sustainable and renewable *** energy storage devices(EESDs)operate efficiently as a result of the construction and assemblage of electrodes and electrolytes with appropriate structures and effective *** manufacturing procedures have restrictions on regulating the morphology and architecture of the electrodes,which would influence the performance of the devices.3D printing(3DP)is an advanced manufacturing technology combining computer-aided design and has been recognised as an artistic method of fabricating different fragments of energy storage devices with its ability to precisely control the geometry,porosity,and morphology with improved specific energy and power *** capacity to create mathematically challenging shape or configuration designs and high-aspect-ratio 3D architectures makes 3D printing technology unique in its ***,the control settings,interactive manufacturing processes,and protracted post-treatments will affect the reproducibility of the printed *** intelligent software,sophisticated control systems,high-grade industrial equipment,and post-treatment-free methods are necessary to develop.3D printed(3DPd)EESDs necessitate dynamic printable materials and composites that are influenced by performance criteria and fundamental ***,we review the recent advances in 3DPd electrodes for EES *** emphasis is on printable material synthesis,3DP techniques,and the electrochemical performance of printed *** the fabrication of electrodes,we concentrate on major 3DP technologies such as direct ink writing(DIW),inkjet printing(IJP),fused deposition modelling(FDm),and stereolithography3DP(SLA).The benefits and drawbacks of each 3DP technology are extensively di

关键词： 3D printing 3D printed electrodes Electrochemical energy storage Lithium-ion battery Zinc-ion battery Supercapacitor

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A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems

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Protection and Control of modern Power Systems 2023年第3期8卷 1-15页

作者： Shahbaz Hussain S.m.suhail Hussain marziyeh Hemmati Atif Iqbal Rashid Alammari Stefano Zanero Enrico Ragaini Giambattista Gruosso Department of Electrical Engineering Qatar UniversityDohaQatar Dipartimento di Elettronica Informazione e BioingegneriaPolitecnico di MilanoMilanItaly Department of Electrical Engineering King Fahd University of Petroleum and Minerals(KFUPM)DhahranSaudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems(IRC-REPS) King Fahd University of Petroleum and Minerals(KFUPM)DhahranSaudi Arabia

The conventional power systems are evolving as smart *** recent times cyberattacks on smart grids have been *** different attacks,False Data Injection(FDI)is considered as an emerging threat that has significant *** exploiting the vulnerabilities of IEC 61850 Generic Object-Oriented Substation Events(GOOSE)and Sam-pled Values(SV)attackers can launch different FDI *** this paper,a real-time set up capable of simulating FDI on GOOSE and SV protocols is developed to evaluate the impact of such attacks on power *** 62351 stipulates cybersecurity guidelines for GOOSE and SV,but only at communication or Information Technology(IT)*** there is a need to develop a holistic security both at IT and Operation Technology(OT)*** this regard,a novel sequence content resolver-based hybrid security scheme suitable to tackle FDI attacks on GOOSE and SV is ***,the computational performance of the proposed hybrid security scheme is presented to demonstrate its applicability to the time critical GOOSE and SV protocols.

关键词： Cyberattacks False data injection Real time digital simulation IEC 61850 Communication protocols Control authority Countermeasures

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Deep Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Control Using 3D Hand Gestures

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Computers, materials & Continua 2022年第9期72卷 5741-5759页

作者： Fawad Salam khan mohd Norzali Haji mohd Saiful Azrin B.m.Zulkifli Ghulam E mustafa Abro suhail kazi Dur muhammad Soomro Faculty of Electrical and Electronics(FkEE) Universiti Tun Hussein Onn MalaysiaParit Raja81756Malaysia Department of Electrical&Electronic Engineering Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Faculty of Engineering Science and Technology Isra UniversityHyderabad71000Pakistan Department of Innovation CONVSYS(Pvt)Ltd.44000IslamabadPakistan

The evident change in the design of the autopilot system produced massive help for the aviation industry and it required frequent *** learning delivers appropriate outcomes when considering a continuous environment where the controlling Unmanned Aerial Vehicle(UAV)required maximum *** this paper,we designed a hybrid framework,which is based on Reinforcement Learning and Deep Learning where the traditional electronic flight controller is replaced by using 3D hand *** algorithm is designed to take the input from 3D hand gestures and integrate with the Deep Deterministic Policy Gradient(DDPG)to receive the best reward and take actions according to 3D hand gestures *** UAV consist of a Jetson Nano embedded testbed,Global Positioning System(GPS)sensor module,and Intel depth *** collision avoidance system based on the polar mask segmentation technique detects the obstacles and decides the best path according to the designed reward *** analysis of the results has been observed providing best accuracy and computational time using novel design framework when compared with traditional Proportional Integral Derivatives(PID)flight *** are six reward functions estimated for 2500,5000,7500,and 10000 episodes of training,which have been normalized between 0 to−*** best observation has been captured on 2500 episodes where the rewards are calculated for maximum *** achieved training accuracy of polar mask segmentation for collision avoidance is 86.36%.

关键词： Deep reinforcement learning UAV 3D hand gestures obstacle detection polar mask

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PARAmETRIC STUDIES ON THE STATIC BEHAVIOUR OF mARINE RISER

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China Ocean Engineering 1990年第1期5卷 13-28页

作者： suhail Ahmad T.k.Datta Lecturer Dept. of Applied Mechanics Indian Institute of Technology Delhi India Professor Dept. of Civil Engineering Indian Institute of Technology Delhi India

The behaviour of marine risers is investigated under the forces produced by selfweight, wave and current and quasistatic motion of the top vessel. The parameters include the applied tension, geometric nonlinearity, magnitude of surge, heave and pitch motion of the top vessel and wave height. The study shows that the above parameters have considerable influence on the riser response.

关键词： PARAmETRIC STUDIES ON THE STATIC BEHAVIOUR OF mARINE RISER

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